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Prof. Dr. Christoph Stiller Karlsruher Institut für Technologie, KIT, Germany Christoph Stiller studied electrical engineering at the RWTH Aachen University, and at the Norwegian Institute of Technology in Trondheim, Norway. After graduating, he worked as a research assistant at the Institute of Electrical Communication Engineering at RWTH Aachen University, where he received his PhD in 1994. From 1994 to 1995 he was a post-doctoral fellow at INRS-Telecommunications in Montreal, Canada. From 1995, he worked in advance development at Robert Bosch GmbH in Hildesheim in the field of image processing systems. Since April 2001, he has been full professor of the Institute of Measurement and Control Engineering at the Karlsruhe Institute of Technology (KIT). Christoph Stiller served as president of the IEEE Intelligent Transportation Systems Society (2012-2013). He served as Editor-in-Chief and as associate editor of the IEEE Intelligent Transportation Systems Magazine. His autonomous vehicle AnnieWAY was finalist in the 2007 Darpa Urban Challenge and winner and second winner of the 2011 and 2016 Grand Cooperative Driving Challenge, respectively. |
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Enhancing Safety in the Era of Automated Vehicles The impending integration of self-driving and cooperative cars into our road traffic landscape heralds a transformative era of mobility. This presentation delves into the safety implications of automated vehicles, spotlighting the pivotal role of video, lidar, and radar sensors in capturing a spectrum of multimodal information from the vehicle's surroundings. High-definition digital maps further enrich this data, enabling the vehicle to construct a comprehensive model of the real world. Through situational awareness, the vehicle predicts potential future scenarios, laying the groundwork for independent and secure planning and execution of movements to ensure a safe and comfortable traffic flow. Central to these advancements are the core methodologies rooted in artificial intelligence -perception, scene understanding, and motion planning. A critical aspect explored in this talk is the profound impact of training data on the performance of these methodologies. Additionally, emphasis is placed on safety architectures of the vehicle and its integration into an automation eco-system. Last, not least, the talk sketches field evaluation methodologies of safety promises, as another crucial element in ensuring the reliability and security of automated systems. Notably, the presentation addresses the interplay of safety-consciousness among drivers in level 2+ and level 3 automated driving systems, underscoring how driver behavior can influence overall system safety. Real-world experiments featuring experimental vehicles navigating both non-public roads and natural operations in public traffic will be showcased. The insights garnered from these experiments provide a foundation for the review of feasible solutions and valuable lessons learned, culminating in the identification of open research questions that beckon further exploration in the realm of automated vehicle safety. |
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