Adasens Automotive GmbH
Synopsis: We are proposing a unified system of tools to efficiently test and validate computer vision algorithms. This includes the categorization of different self-developed tools for pre-development, development and post-development stages. The pre-development stage consists of recording and planning tools. The development stage of tools to visualize output of cameras, LiDAR or RADAR and the post development stage to test KPIs such as ROC curves, false positive etc. The talk will inspire people to develop such tools internally. All tools are running via a web frontend with nice demos that can be shown.
Synopsis: Connected and autonomous vehicles (CV/AV) have the potential to tackle challenging problems related to safety and efficiency. Accidents, congestion and pollution in urban areas could be substantially reduced if these technologies were adopted on a large scale. One of the main challenges for transport agencies and technology developers alike is to find ways to evaluate the performance and impact of such technologies before they are deployed. Simulation provides a comprehensive, repeatable, cost-effective and near-limitlessly scalable testing environment. As such, simulation provides an excellent digital complement to field testing for regression and pre-deployment scenarios.
MaTeLo product manager
Synopsis: Based on a Renault-Nissan methodology and other R&D projects, this presentation explains how to deal with the huge combinatorics met in ADAS simulation and how to compute related autonomous vehicle expected behaviour, to generate tests cases. The speaker will present the MaTeLo Model-Based Testing process, in which weather, road infrastructure, other motorist behaviour, EGO system, road events, etc. are designed. He will also explain how to design determinist test cases with great variability. From this MaTeLo model, the speaker will show the automatic generation of thousands of scenery samples using Gibbs sampler algorithms, to automatically build Oktal SCANeR scripts for 3D simulation run.
project manager autonomous driving
Synopsis: After more 130 years of automotive development, the autonomous car is almost here. Autonomous mobility will exist in many shapes, and insurance companies need to prepare for self-driving and the new risk factors. During the transition, the transfer of responsibility must be designed with safety as a high priority. Insurance products and processes will need to be adjusted to account for autonomous driving. Allianz has already gathered on-road experience by insuring autonomous vehicles globally. Not every accident can be prevented by an ADAS, and a standardised data storage system in automated vehicles is required.
Synopsis: Autonomous driving will hit the road in the near future. One of the obstacles that is still to be overcome is the validation of this technology. How can one prove that the vehicle senses the environment correctly? Two approaches are currently followed. One is real-world driving tests and the other is virtual testing in simulators. Both seem tempting. The first, however, suffers from the unavailability of accurate ground truth data, whereas the latter suffers from unrealistically simplified virtual worlds. We present an approach to acquire accurate 3D map data that can be used as ground truth and realistic 3D world models.
Test Development and Execution System for Autonomous Performed Scenarios
Synopsis: To ensure highest quality and safety, complex testing of autonomous driving assistance is performed with every vehicle during SOP and later on at random. To include a maximum number of sensors and actors, autonomous parking procedures are chosen as test scenarios. The action of the vehicle is observed by a micro GPS system. The quality is identified by a complex fuzzy-logic-based algorithm automatically.
Automotive Proving Ground Zala Ltd
Synopsis: The objective of the project is to establish an automotive testing site for the automotive and communication industry, which would be built on the domestic R&D capacity of the sector and on European R&D capacities equally. In line with current and future automotive trends, when establishing the testing site we place special emphasis on the testing needs of autonomous vehicle systems and related environmental conditions. Proving Ground Zala is a unique test site where the fusion of classic dynamic test elements and test elements of future technologies are realised on a 260ha area.
research project manager ADAS
AVL List GmbH
Synopsis: This presentation aims to give an overview of first results of ENABLE-S3, a large European project with around 70 partners from industry and research. The project’s goal is the provision of technology bricks (methods, tools and models) and a generic test architecture to enable more efficient testing of automated systems. Standardisation is a major enabler for modularisation and reuse. Therefore, the consortium evaluates and extends existing specifications such as OpenScenario and OpenSimulationInterface. The talk will highlight some first results showing advantages and limitations identified in selected demonstrators of the project.
technology scout ADAS, simulation and control
AVL List GmbH
Synopsis: For development of ADAS and AD functionalities, use of environment simulation tools is a well-accepted methodology. Most expensive and time consuming is the manual definition and design of complex scenarios as input to the experiments. The DGT (Dynamic Ground Truth) research project investigates methodologies and measurement systems for the capturing of dynamic objects surrounding moving test vehicles without the need for invasive changes (e.g. to mount sensors). The recorded data should be usable for onboard processing (enabling direct evaluation and comparison with the environment model of the vehicle) and offline post-processing for more accurate and detailed data analysis.
head of automotive electronics
Synopsis: Centralised computing platforms for autonomous driving functions – the domain controllers – require a huge amount of input data. Multiple cognitive sensor sources in autonomous cars challenge the whole testing and validation scenario. Huge computing power processes gigabit data that forms the basis for decisions. Conventional ECU development methods such as prototyping platforms, vehicle loggers and simulation systems such as hardware in the loop are reaching technological limits. The presentation focuses on the changes in sensor architecture and the challenges of methodology for measurement data management in the domain controller environment.
Synopsis: Technology provides autonomous driving within a road lane without visual recognition of the road marking, while reaching speeds up to 130 km/h in undetermined weather conditions (rain, snow, etc.), which is achieved by receiving high-precision navigational data. The composition of the technical solution includes in-vehicle automation kit, hybrid navigation system, safety subsystem of risk assessment. The proposed approach provides highway autonomous driving and supports lane-keeping assistance systems in cases of road marking visual recognition failures. Practical issues will be presented.
Synopsis: The democratisation of autonomous vehicles will be directly impacted by the quality of the resulting mobility services and their integration in the current transportation infrastructure. In June 2016, Switzerland was one of the first countries to set up a service of electric autonomous shuttles circulating through a city centre in pedestrian areas and on open roads. Today, deployments of autonomous shuttles are blossoming worldwide, and are crucial to address challenges inherent in public acceptance and the integration of autonomous vehicles in urban areas. The presentation will offer a deep dive into existing autonomous vehicle deployments around the world.
Bird & Bird LLP
Synopsis: Sandbox testing under real-life conditions only works if the regulatory framework strikes a good balance between incentivising innovation and warranting the safety of others. Federal government is aware of the challenges to enable quick and efficient administrative processes, which may touch on all sorts of regulations. 'Experimental clauses' and related approval processes are making their way into the framework. The presentation analyses examples around autonomous drive and other areas of testing from a legal and regulatory perspective, and how government is pushing ahead to enable faster and better administrative processes to facilitate such 'real laboratories'.
Senior Researcher and Deputy Scientific and Technical Manager
Synopsis: The presentation will discuss the results of the pedestrian safety research projects TARGETS and VISYTE. The projects run from October 2013 to October 2015, respectively from November 2015 to January 2018, and were supported by the Federal Ministry of Economic Affairs and Energy, on the basis of a decision by the German Bundestag. Furthermore, the presentation will provide details about the CARISSMA research and test centre, including the CARISSMA rain simulation.
head of industrial strategy
CCAV (UK Government's Centre for Connected and Autonomous Vehicles)
Synopsis: CCAV presented an overview of the UK's new CAV testing ecosystem programme at the AV Symposium in 2017. Since then we've announced the winners of the first £51m competition (matched by industry to £102m) and launched MERIDIAN, the 'CAV hub' that will coordinate the UK's capabilities and promote them internationally.
manager Connected Car Competence Center
Synopsis: The connected vehicle landscape is complex, with different communication protocols and standards involved. Successfully implementing and verifying the variety of safety applications in the connected car requires testing at several different levels, including the physical layer, the protocols and the algorithmic functionality of the applications. In this paper, a comprehensive approach for testing all these different layers is presented, covering laboratory and in-the-field testing procedures.
senior technologist automated driving
Synopsis: The presentation will discuss a method of adding probabilistic confidence values to look-ahead road topology and world model attributes using HD maps.
Digital Engineering & Test Centre
Synopsis: The UK Government has recently funded a coordinated set of physical CAV test facilities between London and Birmingham to provide CAV technology developers from across the world with the facilities to develop and test the essential underlying technology and actual vehicles on public roads and safe off-highway environments. Alongside the physical, we are building the virtual testing environments and bringing innovative new technology from gaming, AI, etc. into automotive testing for the first time to achieve the required test quality at much reduced time and cost. This paper will outline this exciting coordinated activity and examine the digital London space.
Synopsis: Test speed demands for active safety system testing are continuously rising. Current requests from the automotive industry are up to 130km/h. UFO currently reaches as first platform test speeds of 100km/h. The presentation shows the challenges for the test equipment and the proving ground of testing at these high speeds.
lead product manager
Synopsis: The market introduction of autonomous vehicles is on the horizon. A crucial element of these systems is the reliable environmental perception by means of camera, radar and lidar sensors. Functions for autonomous driving have to be test-driven hundreds of millions of kilometres. This is possible using virtual test drives and SIL/HIL simulation only. In this context, appropriate sensor models and integration options of sensor ECUs with HIL test benches are the key. This presentation outlines a new sensor simulation concept and a generic interface unit to insert raw data behind sensor front-ends. A unique radar sensor model is introduced.
senior vice president, EU operations
Synopsis: Digital anti-soiling simulation work is particularly significant in the upcoming world of sensor-controlled fully autonomous vehicles. We explain how PowerFLOW software incorporates dirt, dust and water into simulation – with the real-world accuracy that can only be achieved using a transient solver. We explain how the particle-handling capability of the software enables automotive and truck manufacturers to deliver a safer and much-improved driving experience through better control of soil and water accumulation on autonomous driving sensors.
FEV Europe GmbH
Synopsis: We are showing that questions of test coverage for self-learning systems can be solved: any self-learning system in our scope, including those with non-deterministic portions, can be identically transformed thusly that the aspects of self-learning and non-determinism can be considered identically to the problem of the unknown use case population. Next, we explain how established and proven approaches from different domains (experimental physics, mathematical statistics, data analysis) can be applied to achieve a measure for test coverage in the situation of populations where only basic knowledge about their properties exist.
director Aurora collaboration
Finnish Transport Agency
Synopsis: Aurora Borealis Intelligent Corridor is a digital cross-border corridor on E8 from Norway to Finland. The main objective is to enable C-ITS and CAD testing in arctic conditions. The road has been instrumented with supporting infrastructure to promote car makers' CAD trials on public roads. E8 provides an opportunity to test cross-border ITS solutions and snowtonomous driving in arctic conditions, and research what kinds of infrastructure and roads will be needed in the future in terms of automated vehicles.
Fraunhofer Institute for Transportation and Infrastructure Systems IVI
Synopsis: Current test and validation procedures for automated driving functions use field tests on public roads primarily to identify unknown critical scenarios. These scenarios are then validated in simulations or on test sites. The complex traffic environments required to validate automated driving functions in urban traffic may not be investigated with sufficient detail outside of field tests. Therefore, we present an approach that increases the reliability of field tests by generating scenarios considering real urban roads with public traffic, focused resource coordination for the test procedure and cooperation with connection infrastructure in the Digital Testbed Dresden.
team leader verification and validation methods
German Aerospace Center (DLR)
Synopsis: Currently, scenarios are considered as main elements in test specifications of highly automated driving functions. A scenario captures a large number of concrete test cases in a formal way. It must permit these test cases to be generated automatically. And the collection of scenarios must cover all behaviour that needs to be tested. The scenario language needs sophisticated constructs to cover the complex, reactive patterns of road traffic. And the test specification must allow overlapping of cases to be systematically coped with. The presentation proposes a conceptual solution to these problems of formalisation and evaluation.
Global Traffic Technologies
Synopsis: For nearly 50 years, Global Traffic Technologies’ traffic signal priority control technology has been connecting vehicles to infrastructure. This technology has evolved from IR to GPS-enabled radio and cellular-based communications. The V2I communication infrastructure that enables driver-assisted priority control can be extrapolated to autonomous vehicles as technologies advance. GTT’s latest application in New York City leverages existing connectivity on buses and at intersections to create a centralised transit signal priority (TSP) solution. This centralised solution demonstrates how cities and companies can use connected hardware to create a reliable network that is capable of supporting autonomous vehicles.
GPS Dome Ltd
Synopsis: During the last few years, the phenomena of jamming and spoofing the GNSS signals has become widespread. The source of jamming and spoofing may be on a national level and on a personal level. GNSS jammers/spoofers are easily obtainable over the net. The future of autonomous driving relies heavily on the availability of GNSS signals, both for navigation purposes and for sensor synchronisation, as well as for V2X synchronisation. It is essential to design autonomous vehicles for operation in jamming/spoofing environments as well as including such facilities in the testing range. GPS Dome provides commercial solutions for jammers/spoofers.
vice president, BU autonomous drive/ADAS and CoC navigation
Synopsis: With the advent of the autonomous car, modeling the environment has been a challenge and an opportunity of unprecedented scale. Mike Tzamaloukas, Vice President, BU Autonomous Drive, ADAS and Navigation, HARMAN will present a novel framework that ensures that every connected car on the road has the ability to benefit from validated, crowdsourced information. In this presentation, Mike will address topics spanning efficient multi-sensor data collection, normalization and machine learning cross-validation, spatio-temporal confidence estimation, data sharing and customer privacy. He will further offer insights on how this technology can help reduce production quality costs and accelerate go-to market timelines for OEMs, fleet operators and transportation city planners.
Helix Technologies Ltd
Synopsis: The safety-critical role of V2X DSRC in driver-assist and autonomous vehicle systems requires particular attention to 'real-world' channel/propagation challenges which to-date have not been successfully addressed by incumbent antenna technologies. Helix Technologies is developing an antenna based on dielectric-loaded, multi-filar helix antenna technology that is optimised for use in the V2X DSRC IEEE 802.11p environment and employs the use of a diversity system architecture. The V2X DSRC antenna to be developed by Helix Technologies will employ two ceramic-based, compact, dielectric-loaded, multi-filar antenna elements co-located so as to provide optimum antenna diversity, promote link reliability and eliminate coverage nulls.
chief engineer - intelligent mobility
Synopsis: The ever-increasing use of virtual design, verification and validation (vDV&V) tools is supported by a sound base of successful case studies across most engineering and scientific areas (e.g. medicine, aerospace and automotive). Nevertheless, there exists a risk of a false sense of safety when the tools used on vDV&V of safety-related systems are not well understood, particularly in highly complex systems like autonomous vehicles. This talk will address how the modelling methods, physical data and correlation, design and test traceability and coverage, operational boundaries, dynamic environments, hardware in the loop (HIL), scenarios annotation and generation, and other key parameters shape the challenge for AV vDV&V.
Hungarian Public Road
Synopsis: Future mobility requires more and more online information even from the road. The Hungarian Public Road company is committed to supporting this development. C-ITS deployment started in 2015 in Hungary to demonstrate the use of C-ITS to exchange data through wireless communication technologies between vehicles and infrastructure (V2I). Road safety improvement, especially work zone safety, was the key issue, but the upgrading of services is ongoing. A 136km-long stretch of motorway M1 has been covered, and an extension is planned in 2018 with urban-interurban use cases. The company is also participating in the deployment phase of an automated proving ground and test zone in Zalaegerszeg.
Hyundai Autron Co Ltd
Synopsis: The objective of our study is to present an evaluation method through semiconductor modelling of peripheral sensors, which efficiently evaluates the ACU’s internal fault detection software logic. This study introduces two different methods to generate internal fault conditions, one by editing a pre-recorded data stream of normal operation, and another by modelling the fault-occurring sectors and adding fault logic blocks to the sectors. We evaluated a test MCU’s software with 386 cases of 95 possible internal fault types and achieved a test time reduction of 70% compared with the current method of internal fault testing.
Kwang Sheun Tham
Emerging Technology Lead
IAG Firemark Labs
Synopsis: Autonomous Vehicles (AVs) have been pitched, as being able to significantly improve safety. However, a mixed fleet scenario with AVs and conventional vehicles are deemed a reality for at least the next 10 to 15 years. This poses safety risks arising from interactions of these vehicles. We use data from trials around the world as well as our own analysis to demonstrate reasonable metrics that can be used to evaluate AV risks and human trust in the AVs.
Synopsis: Leveraging the potential of fleet testing campaigns of autonomous vehicles equipped with multiple sophisticated sensory systems such as LIDAR as well as communication systems connecting the vehicle with the IoT challenges even nowadays most bleeding edge Big Data technologies. To get the most valuable insights into your data optimising your engineering processes, will require tools and services for data acquisition, management, analytics and visualisation. This talk will discuss our testing along the way to a solution that combines the best from the world of Big Data, Cloud, AI and automotive-engineering.
Institute for Man-Machine Interaction at RWTH Aachen University
Synopsis: Today, autonomous vehicles are mainly verified in real-world test drives. These tests are not only time-consuming and expensive but also insufficient for a trustworthy validation, since critical situations rarely occur. To enable efficient system tests, we propose the use of virtual testbeds as a software environment in which 'digital twins' of real vehicles, sensors and environments are simulated (from RWTH). That simulated data is compared with real-world data by using established algorithms for environment interpretation from the automotive sector (with ADASENS input and evaluation).
product manager simulation software
IPG Automotive GmbH
Synopsis: ADAS have undergone a rapid evolution. Formerly integrated as standalone components, modern ADAS are networked with each other, which causes new challenges for development and testing. This calls for new testing techniques, such as scenario-based simulation. There are three basic ways to create scenarios: outlining on the drawing board and manual creation with a scenario editor; generation based on map data with optional enhancement in a scenario editor; generation based on real-world measurements with optional enhancement in a scenario editor. Each approach has its own strengths and weaknesses, which are described in this presentation.
researcher in evaluation of data processing systems
Synopsis: The SVA Project aims to meet the challenge posed by the complexity of demonstrating the safety of autonomous vehicles through the use of digital simulation. One of the objectives is to provide builders and suppliers with a methodology and simulation tools for the validation of safe autonomous vehicles. We propose a new methodology based on the concept of oracle, a mathematical tool adapted to the ADASS evaluation. Indeed, oracle created an ideal reference to compare with the answer of a system. The presentation will explain how to create this oracle.
Messring Systembau MSG GmbH
Synopsis: Pedestrians and cyclists account for a significant proportion of road deaths worldwide. Current ADAS test systems are tackling this challenge, but are limited in their design to linear or two-dimensional motion. With this setup, particularly during acceleration processes, an unrealistic motion is generated. The concept of hanging dummies from above creates new possibilities for more life-like dummy trajectories using six degrees of freedom. The system sets new standards in precision and repeatability through the ability to reproduce real-life human motion sequences and imitate them realistically – for example, based on data from a motion capture system.
specialist for system and software development
Synopsis: The number of tests required for autonomous and electric vehicles has increased dramatically compared with established standards in the automotive industry. This demand can only be handled by means of automation and adapting existing processes. Therefore, we developed a new solution for the test automation software EXAM, called the TestCase Generator. Its purpose is to generate test cases automatically from a test specification. Now test designers are able to handle 11 times more test cases, deliver test results earlier and cover more requirements.
Niels de Boer
programme director, CETRAN
Nanyang Technological University
Synopsis: Singapore is embarking on a roadmap towards deployment of autonomous vehicles as a part of the transport system in residential areas. To extend the trial of AVs from the existing testbed area to residential areas, a 'milestone 2' test needs to be passed, after which the licence to test AVs will be amended and the permission to test in defined residential areas will be added. This presentation will give an overview of the test requirements, the test definition and technical assessment methodologies, and the work to improve and extend the testing based on feedback from trials of autonomous vehicles in residential areas.
Bruno Fernandez Ruiz
co-founder and CTO
Synopsis: As the industry is charging towards self-driving perception in all-terrain, all-weather and all-lighting, it remains a challenge to collect and tag enough data to allow for reliable driving algorithms. Applying user self-annotation of driving data is the only way we can truly advance the autonomous car industry and infrastructure. In this session, I will share our concept and methods in creating an autonomous learning 'flywheel' of collect-annotate-learn road data network.
Synopsis: The presentation will introduce a simulation, development and test environment tool to log radar and camera data, replay through software in the loop, simulate radar/lidar data at low target or high track levels. The system has the ability to extend this environment by using additional plug-in tools.
project manager and consultant
Oecon Products & Services GmbH
Synopsis: C-ITS systems using V2X communications provide opportunities for achieving sustainable transportation. However, before any V2X system is fully developed and deployed, an extensive phase of testing is required. Using dedicated private test tracks and simulations are two main approaches for testing V2X systems. In this paper, a method is proposed for testing V2X systems by using both approaches concurrently and utilising systems such as stereo cameras and roadside stations. The method is aimed to be implemented on a motorway section of the A39 near Brunswick, which is part of the Lower Saxony Test Field for connected and automated driving.
director strategic projects
Synopsis: Optis is developing a simulator software for dynamic ADB headlamp functions, named VRX-Headlamp. Due to physics-based simulation algorithms it is possible to replace real night test drives with virtual simulations. As the ADAS function of the light-assist system is dependent on sensor inputs controlling the headlamp, it was also necessary to develop virtual physics-based sensors as cameras and lidar. For safety ADAS functions like the autonomous emergency braking AEB, it is now possible to do a virtual validation of mandatory NCAP ratings like the pedestrian AEB night tests with the VRX-Sensors software.
Oxford Technical Solutions Ltd
Synopsis: This presentation covers a recent case study that addresses the challenges faced determining precise alignment of lidars in an inertial navigation system frame. We have developed a reliable calibration method to remove systematic errors caused by mechanical misalignment. We will share techniques used to validate the calibration result, along with specific findings that will help to improve confidence in open-road sensor testing and validation projects.
Synopsis: It is commonly agreed that testing and validating highly automated driving functions will involve a mixture of tests in real and simulated environments. Even after a functional decomposition in several classes of base scenarios there always exist many parameters with a huge number of possible values. Testing all combinations of values is impossible. In the presentation we discuss possible approaches and challenges in exploring the large parameter spaces in the search for hidden faults and critical situations.
Robert Bosch GmbH
Synopsis: Validating a fully automated vehicle operating in urban scenarios is currently the ultimate challenge. Statistical approaches are neither feasible nor comprehensive. The talk will address current views of challenges and approaches in releasing self-driving vehicles.
technical sales manager
S.E.A. Datentechnik GmbH
Synopsis: This presentation will focus on necessary tools for test and validation of upcoming mobile communication like 802.11p or cellularV2X (LTE-V) for connected autonomous driving vehicles. S.E.A. has developed a test platform to test and validate the technologies and the corresponding hardware like ECUs and onboard units with respect to RF communication and compliance, protocol analysis and validation, as well as complex scenario generation including GNSS simulation for open-loop or closed-loop HIL tests. A brief overview of the different test aspects will be given, and a way to analyse and visualise the V2X test data will be demonstrated.
Sensible 4 Ltd
Synopsis: Sensible 4, a startup focusing on automation technologies under harsh conditions and varying environments, will take its self-driving vehicle to northern Lapland for testing during the winter of 2017-2018 as part of the Aurora Arctic Challenge project. Perception, remote control and multi-sensor redundancy and solutions will be studied in open-road tests. The presentation will describe field-test arrangements, technology, key findings and results obtained.
ADAS/AV product line manager
Synopsis: Proper SAE Level 4-5 vehicle validation will require – at the least – millions of scenarios to be checked. For project timing and testing conditions reasons, this will be entirely feasible only through simulation. To validate sensor technology and design, computer vision and sensor fusion, the decisional and executive driving agent, and actuation, most companies will have to couple several simulation models (AI, controls, world, sensors, vehicle physics) and perform a massive simulation activity to sufficiently sample the scenarios space. In this presentation we will communicate Siemens' progress in this area through a concrete simulation case.
head of testing, automotive
Spirent Communications GmbH
Synopsis: Time-sensitive networking protocols and applications are the enablers for using real-time functionalities in different industries based on Ethernet/IP networks. For the automotive world, TSN will help to implement driver assistance and autonomous functions in next-generation vehicles. The presentation will illustrate use cases of time-sensitive networking in vehicles and also the ways to validate the network components such as ECUs and end devices like cameras and sensors, as well as the software applications using this technology. Learn how autonomous vehicles act like data centres on the road and how to avoid safety issues based on malfunctions.
Robin van der Made
product manager software and services
TASS International (a Siemens Company)
Synopsis: One of the latest needs in the area of automated driving is the generation of sensor data as input for deep neural networks for the purpose of training automated driving applications. The PreScan simulation platform can be used to generate virtual sensor data of all sensor technologies relevant to automated driving, such as camera, radar, lidar, ultrasone and DSRC. In this presentation we also present the added value of injecting synthetic sensor data directly into platforms such as the Mentor Graphics DRS360 and Nvidia Drive PX2 for virtual validation of automated driving applications by means of hardware-in-the-loop (HiL) simulation.
Test and Verification Solutions Ltd
Synopsis: The Innovate UK-funded CAPRI project brings together an experienced consortium of partners from industry, academia and local authorities, working together to deliver a complete end-to-end POD mobility service. The consortium aims to collate sufficient evidence from the deployment trials and simulation testing to support PODs becoming a recognised vehicle classification for use on public roads. This presentation will discuss: verifying and validating the safety and security of the next generation of PODs for the on- and off-road environments, and collating sufficient evidence to support PODs as a new vehicle classification.
Synopsis: In view of recent developments in autonomous vehicles (AVs), the need arises for an efficient AV road-approval procedure. To this end, a safety assessment framework that employs virtual assessment of traffic scenarios is proposed. This framework consists of four components: data acquisition, scenario extraction and parametrisation, virtual safety validation, and physical safety validation. Due to the simulation-orientated nature of this framework, quantitative and statistically relevant measures for safety-related AV performance are obtained while minimising the number of physical tests, thus realising an efficient procedure. The assessment framework is currently being developed in Singapore to accelerate AV deployment.
project manager integrated vehicle safety
Synopsis: For virtual safety assessment of automated driving vehicles, a set of test scenarios is needed with real-world validity. The StreetWise scenario database is based on real-world driving data. Parameterised observed variants of the scenarios are stored. When using the database for virtual testing, the test engineer will have to select a relevant set of scenarios for the system under test. A data-driven approach for determining the relevance of the scenario is proposed. Also, the interface ‘scenario database – simulator tool’ and relationship to key performance indicators is presented.
head of connected and autonomous vehicles
Synopsis: This presentation will provide a review of London's Smart Mobility Living Lab, part of the UK Government's £100m investment in creating an integrated CAV testbed ecosystem for on- and off-road testing. The Smart Mobility Living Lab will build on established and ongoing CAV projects in London, including GATEway and MOVE_UK, and provide infrastructure to support real-world testing, development and evaluation of CAVs and CAV mobility solutions together with new ITS and communications technologies.
global head autonomous driving and ADAS
Synopsis: The physical testing of highly automated vehicles is a very challenging task. Highly accurate and repeatable replay of complex manoeuvres must be achieved on the test ground to judge the ability of autonomous vehicles to cope with different situations. For this purpose, we present a complete technical setup that has been developed by TÜV SÜD and its partners. Soft static targets, remotely controlled traffic simulation vehicles, a vehicle control system, highly sophisticated sensors and a monitoring system work together precisely. Technical details and demonstrations are provided in this talk.
Arie P van den Beukel
University of Twente
Synopsis: Reliable automation within complex traffic situations, especially in cities, is challenging. For city transport, municipalities face high costs of bus lines. These seem inefficient because buses are used intensively during rush-hours but at other times by only a handful of people. Nonetheless, municipalities need to offer basic transport facilities. Because the main expense is labour costs, some municipalities are considering automated buses within their towns. To optimise availability, costs and reliable operation, a system design is being explored with small bus units that individually drive autonomously in dedicated lanes and drive cooperatively with a human lead driver in town.
business development manager
Synopsis: The presentation shows the challenges and solutions for a complete ADAS logging approach: multichannel vehicle bus logging: CAN-FD, FlexRay, LIN, Auto-Ethernet; radar measurement technology for raw data as well as object data; high-end fusion ECU measurement with multi uC + uP architecture based on Autosar and Autosar adaptive operating systems; multiple vehicle and reference camera measurement; other sensors such as laser scanner, ultrasonic and GPS. The unique solution covers two use cases: 'Engineer Mode' with full graphical object overlay display, and 'Taxi Driver mode'.
Vector Informatik GmbH
Synopsis: V2x communication is a key enabler for autonomous driving and helps extend the functionality of advanced driver assistance systems (ADAS). The presentation introduces the limitations of today’s ADAS systems, and shows why V2x communication is such a hot topic and how it can support ADAS and autonomous driving. It also discusses the measurement and testing challenges coming up with ADAS applications supported by V2x communication.
engineer data scientist
Synopsis: Knowledge of the real-world driving environment involving manually driven cars is fundamental, allowing detailed identification of safety issues encountered by autonomous cars in similar complex situations. The MOOVE project has been created to study this problem. This presentation: explains the context and the developed methodology applied to the collected data; presents the data modelling applied to build the database; identifies the role of crucial variables interfering in the extracted real-world driving scenarios. Thus, improved robustness will be achieved for the autonomous vehicle architectures and systems being developed at the Vedecom Institute.
Virtual Vehicle Research Center
Synopsis: A large number of testing procedures have been developed to ensure vehicle safety in common and extreme driving situations. However, these conventional testing procedures are insufficient for testing autonomous vehicles. They have to handle unexpected scenarios with the same risk a human driver would take – or less risk. Currently, safety-related systems are not adequately tested, e.g. in collision avoidance scenarios with pedestrians. Examples are the change of pedestrian behaviour caused by interaction, environmental influences and personal aspects, which cannot be tested in real environments. It is proposed to use a test environment with flying drones. Name: Pedestrian in the Loop.
founder & principal
Synopsis: Enabling automated driving in inclement weather is challenging because sensor performance is compromised. For example, a light snowfall that covers lane markings would render most methods of lane keeping inoperable. However, there are new methods for localisation that heighten the performance of automated vehicles. In this presentation we will share our experience using precision map data to improve the AV performance in poor weather. By using different methods of localisation against the precision map, VSI can discuss how it uses HD maps to improve the performance and safety of automated vehicles, even when lane markings are covered or absent!
WMG, University of Warwick, UK
Synopsis: To prove automated driving systems are safer than human drivers, it is suggested that they will need to be driven for over 11 billion miles. However, rather than number of miles, it is the quality of miles that is important. In order to find the 'interesting scenarios', a novel systems engineering method – an extension to the STPA method – has been developed and applied to low-speed automated driving systems (Pods). Elements of the STPA process outputs are parameterised to create test scenarios. One of the features of the proposed method is the ability to create both test scenarios and pass criteria.
Synopsis: Technology choices for automotive lidar must be based on how and where the lidar units can be integrated in vehicles. This integration impacts the lidar technology as well as the vehicle itself. As the need for reliable solid state lidar systems continues to grow, considerations about sensor positioning and ways to achieve reliable detection are gaining automotive attention. This presentation will report on some of the outcomes from the research cooperation with Tier 1 partners for specific and integrated lidar positioning. The use of lidar as a reference or complementary system for camera-based or sensor-fused detection will also be addressed with regard to the lidar vs. camera positioning.