Developing an autonomous vehicle?
This is the conference you should attend!

Synopsis: HEADSTART is a H2020 EU funded project that aims to define testing and validation procedures of Connected and Automated Driving functions including key technologies such as communications, cyber-security and positioning. The tests will be in both simulation and real-world fields to validate safety and security performance according to the key users’ needs. The expected impact of HEADSTART project is based on three main action pillars: • Testing and validation: Potentiation of development strategies bringing time and costs reduction; • Assessment: Creation of assessment protocols increasing vehicle safety awareness; • Certification: Support of regulations ensuring the safe introduction of CAD technologies to the market. During its initial months HEADSTART project has compiled worldwide state-of-the-art on scenario based validation and testing initiatives; analysed and summarised CAV testing needs of several stakeholders including OEMs and TierXs, type approval authorities and technical services, commercial testing initiatives, academia. HEADSTART has also created a harmonised methodology that includes Key Enabling Technologies in the process.

Synopsis: Presenting the challenges, lessons and successes of Robopilot - a UK CCAV funded project delivering a demonstration of level 4 autonomous driving on mixed roads in the UK. Focussing on the testing and validation journey from research and simulation to on-road testing and live demos. Robopilot is a £12m consortium project based in the UK, partners include UPS, Thales, Bristol Robotics Lab, Loughborough University, TVS and South Gloucestershire Council.

Synopsis: In 2018 ASAM acquired its first simulation standards in the form of the OpenX portfolio (openDRIVE, openCRG & openSCENARIO), with the addition of the Open Simulation Interface in 2019. Since then simulation experts worldwide have been working hard on the first official ASAM revisions, the first of which are to release in Q1 of 2020. This presentation will give an overview of the ASAM activities to date, as well as provide some insight into where we see the road leading in 2020 and beyond. Our goal being standardisation to facilitate the development of safe, regulated autonomous driving.

Synopsis: New forms of cooperation are necessary to turn the vision of autonomous driving and fully connected mobility systems into a reality in the near future. Technologically, these trends are being driven by the increasing deployment of advanced driver assistance systems (ADAS), automated driving functions, digitization and connectivity. Virtual validation is becoming an essential part of development processes of highly autonomous driving (HAD) functions. Standards for model and system interchange are vital for cross-company and cross-domain virtual integration and simulation of HAD functions. Current and upcoming standards like FMI, SSP, and the “OpenX at ASAM e.V.” showcasing current possibilities, challenges and future directions, as well as a vision on the future collaboration between interested parties. "Data is the new gold" The difference between data and gold is that the latter has a clear definition in the periodic table. It is unique to all, whereas the value of data lies in its structuring and common interpretation, such as a Word file with an English text in its syntax and semantics. In the context of the worldwide standardization of "OpenX" for scenarios, maps, models, materials, geometries/buildings and others for virtual testing & validation, the goal of overarching uniqueness is developed. However, there is an unsolved problem: The existence of a standard for the description of digital maps does not solve their availability. There is a lack of transparency in the market, whereby the implementation of a standard is endangered and the costs for the procurement of the described data are high. The success of the distribution of the MP3 format can be used as an analogy. The costs for music, the simplicity of its procurement and its compatibility with playback devices were driven to a large extent by platforms such as iTunes or Spotify. Market participants were brought together there, but with the effect of creating central "global players". The foundations for the future eco system in the field of virtual validation have been laid by the ENVITED Ecosystem. • Standardized data for virtual test & validation • Open and modular simulation architecture • Traceability of standardized data and test results for a Virtual Proof of Validation • Channeling participants in a large ecosystem

Synopsis: Vy Group is a leading bus operator in the Nordics, operating over 3000 buses. We are taking a leading role in deploying autonomous buses into public traffic. In Kongsberg (Norway), we have a successful project running where two autonomous buses have replaced a regular diesel bus in operation (mixed traffic). This winter, we will test driving without a safety host at some parts of the route in Kongsberg. We will also test an operation without a safety driver in a industry park, with traffic lights. We also have a project for bigger AVbuses. We are happy to share our insight.

Synopsis: Testing of CAVs on public roads is a hot topic; does it expose the public to unnecessary risk? or is it essential, on the way to profound safety improvement on the world’s roads? Can we have the best of both worlds – on road learning, with enhanced safety? John Fox, Programme Director of Midlands Future Mobility at WMG addresses this topic, using the £35m Midlands Future Mobility test and trialling ecosystem as a case study. There are exciting times ahead!

Synopsis: Advanced Driver Assistance Systems (ADAS) are already becoming part of all vehicles today. Fully Autonomous Driving (AD) is in the development phase right now and to win this race applied Artificial Intelligence (AI) is the key component. All major OEM and Tier-1 auto manufacturers are implementing and testing AD facilities. As an optimal geo-fenced area Singapore is one of the most important cities in the world for AD testing right now. Developing and testing AD systems requires the storage and analysis of more data now than ever before. Researchers and developers who can deliver insights faster while managing rapid infrastructure

Synopsis: • Gap between current ADAS systems and expected ADAS and AD systems • Technologies to enable 3D sensing using low cost sensors by available ADAS ECU • Advanced Sensor Fusion to compensate the deficiencies of one by the abilities of others

Synopsis: Researchers from Regulus Cyber recently initiated remote spoofing attacks on the Tesla GNSS (GPS) receiver, exploiting security vulnerabilities in mission-critical telematics, sensor fusion, and navigation capabilities. With Tesla as a backdrop, CEO Yonatan Zur will explore the security requirements for safe satellite-based navigation for driverless technology – cyber defense for sensors, anti-interference, anti-jamming, anti-spoofing systems that exist and best practices for implementation. He’ll discuss recent technological developments creating new threats and will highlight the rapid growth of real-world attacks happening across these multiple sectors and how they are expected to further grow as GNSS-dependent systems become more connected and autonomous.

Synopsis: Automated driving solutions introduce a new complexity into the development of embedded systems in a car. This complexity rises with each level of control and autonomy. The toolchain for such challenges is also complex and the integration of all the tools cost a lot of effort without a real competitive advantage towards the automated driving solution. Instead of solving these challenges alone, wasting lots of money on the path, Bosch´s Automated Driving Division has started therefore an Open Source Community, OpenADx. This talk will present the open source approach the current state of the community and the current available solutions.

Synopsis: Automated Driving has increased their functionalities for semi, highly, and fully automated vehicles in the last years. Most of the applications receive on-board sensors and communication information, from the infrastructure and other vehicles. Several motion planning and control techniques have been implemented for complex environments, however, most of them spend a lot of time in the execution. This presentation shows a description of the techniques used by different research teams, their contributions in motion planning and a comparison among these techniques. Moreover, an approach, based on a testing methodology for validation of path planning and control algorithms for current and