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The 2nd Automotive Innovation Workshop was successfully held
Automotive Innovation Workshop was successfully held online on March 22, 2022.
The workshop delivered a high-quality, international speaker line-up, which seeks to identify challenging problems facing the development of autonomous vehicles. It attracts over 33k viewers in the live-stream.
Organized by: China SAE, Automotive Innovation
Co-organized by: School of Automotive Studies, Tongji University; China SAE Intelligent Vehicle & Transportation Committee
Chair: Prof. Guang Chen, Associate Editor-in-Chief of Automotive Innovation, Research Professor at Tongji University
Co-chair: Prof. Wei Tian, Assistant Professor at Tongji University
Prof. Guang Chen gave opening remarks
Prof. Guang Chen introduced the aim and significance of the workshop, and gave an introduction toAutomotive Innovation. At the same time, Prof. Chen expressed his gratitude to the editorial board, authors, and reviewers of the journal for their great support.
Prof. Wei Tian moderated the event
Prof. Christoph Stiller gave a speech
Prof. Christoph Stiller is the Chaired Professor and Director of the Institute for Measurement and Control Systems at Karlsruhe Institute of Technology. He gave a speech titled "The Path Towards Automated Vehicles” . This talk investigates perception and planning methods for automated vehicles and elaborate on the potential of cooperative driving. Beyond the fascinating progress that we have witnessed in the past decades, the remaining challenges for achieving full autonomy for self-driving cars still require substantial research. Reliable perception, provable behavioral safety and safety validation are prominent examples for these. Furthermore, fail-safe requirement lead to novel vehicle architectures. Technical supervision and teleoperation may lower the hurdles for deployment. Last, not least, a societal consensus on an acceptable risk level is required and compliance with this consensus must be tracked in empirical safety analysis.
Prof. Meng Wang gave a speech
Prof. Meng Wang, Professor at TU Dresden, Chair of Traffic Control and Process Automation at the Institute of Traffic Telematics, gave a speech titled “Maneuver Coordination of Connected Automated Vehicles at Highway and Urban Road Junctions”. Connected automated vehicles have the potential to increase roadway capacity by forming platoons. However, they have to be coordinated at highway and urban road junctions where conflicting traffic movements prevail. He first proposes a hierarchical model-based framework to coordinate merging sequence, lane change time and location of connected and automated vehicles to maximize traffic efficiency, safety and comfort at highway merging sections. As a second example, it is shown how he integrates the CAV trajectory planning with traffic signal optimization at urban intersections. Both examples demonstrate the necessity of the traffic-level coordination when designing CAV systems.
Prof. Jia Hu gave a speech
Prof. Jia Hu,Professor and ZhongTe Distinguished Chair in Cooperative Automation in the College of Transportation Engineering at Tongji University, gaive a speech of“Human-Lead-Platooning Cooperative Adaptive Cruise Control”. In this talk, a Human-Lead-Platoon CACC ((HLP-CACC) controller is proposed for connected and automated vehicles to “include” human drivers in platooning process. The goal is to form a platoon between automated vehicles and human drivers so that turbulence caused by human drivers could be smoothed out by automated vehicles. Unlike the conventional CACC where only longitudinal control is automated, the proposed HLP-CACC regulates both longitudinally and laterally. In other words, the followers in an HLP-CACC platoon are fully autonomous. The controller is formulated utilizing model predictive control (MPC) solved by Chang-Hu’s method. The technology has the following advantages: i) take advantage of human drivers’ perception to enable conditional full autonomy; ii) accommodate actuator delay in system dynamics to improve actuator control accuracy; iii) automates both longitudinally and laterally; iv) ensures string stability in partially connected and automated vehicles environment.
ISSN 2096-4250
CN 10-1501/U
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