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

Synopsis: New forms of cooperation are necessary to turn the vision of autonomous driving and fully connected mobility systems into a reality. Virtual validation is an essential part of the development process. Standards for model and system interchange are vital for cross-company and cross-domain virtual integration and simulation of HAD functions. Standards like FMI, SSP and the OpenX at ASAM eV showcase current possibilities, challenges and future directions, as well as a vision of future collaborations. The foundations for the future ecosystem have been laid by the ENVITED ecosystem: standardized data for virtual test and validation; open and modular simulation architecture; traceability of standardized data and test results for a virtual proof of validation.

Synopsis: To tackle the problem of verification and validation of autonomous vehicles, synthetic data generated in virtual environments can be employed to complement field testing, due to the fact that these environments are highly scalable and inexpensive. Although in recent years virtual environments have been employed by the community to develop and test ADAS/AD functionalities, such as AEB or ACC, there has been limited possibility to utilize synthetic data for sensing functions performance evaluation. This presentation will address the challenges and opportunities of virtual environments for test and validation of camera-based sensing algorithms.

Synopsis: HEADSTART is an H2020 EU-funded project that aims to define testing and validation procedures of connected and automated driving functions including key technologies such as communications, cybersecurity and positioning. The tests will be in the simulation and real-world fields to validate safety and security performance according to the key users’ needs. The expected impact of the 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.

Synopsis: Validating AV safety is a crucial part of ongoing research. The approach of separately track-testing sensors and driving algorithms is hardly sufficient to demonstrate AV safety. Scenario-based simulation approaches are necessary complements to the traditional approach, allowing computation of a controlled diversity of key variables in many iterations in a safe, fast and documented way. French car manufacturers Renault and PSA, together with academic researchers (VEDECOM, SystemX, Lab and Ceesar) and other partners (Valeo, AVS and Expleo), propose to address the challenge of demonstrating AV safety by taking an array of 'in-the-field' situations into account.

Synopsis: The presentation will discuss the gap between current ADAS and expected ADAS and AD systems. It will also outline technologies to enable 3D sensing using low-cost sensors by available ADAS ECU, and examine advanced sensor fusion to compensate for the deficiencies of one by the abilities of others.

Synopsis: Automated driving solutions introduce a new complexity into the development of embedded systems in cars. 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 requires considerable effort without a real competitive advantage for the automated driving solution. Instead of solving these challenges alone, wasting lots of money along the way, Bosch's automated driving division has started an open-source community known as OpenADx. This talk will present the open-source approach, the current state of the community and the currently available solutions.

Synopsis: Advanced driver assistance systems (ADAS) are already becoming part of all vehicles today, and fully autonomous driving (AD) is in the development phase right now. 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. 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 growth will be poised to be industry leaders.

Synopsis: As the complexity of systems increases, so does the need for functional safety and security. Quite often these goals are meant to be fulfilled by the same component. But how are they analyzed and designed so that instead of being two independent areas, they contribute together toward the achievement of the system goals? The presentation will show the similarities and differences in terms of goals, processes, concepts and mechanisms when it comes to functional safety and security. It will also discuss the analysis that can be done to bring them together on the same page.