HIGHLIGHTS

Sensing and perception technologies for automated driving – Road from concept to production

Dr. Wende Zhang is GM’s BFO (BOM Family Owner) of View Systems since 2014.  In addi-tion, Wende leads GM’s Next Generation Perception System team, guiding a cross-functional global Engineering and R&D team focused on identifying next generation perception systems for automated driving and active safety since 2010.  Dr. Wende Zhang served as President of Sigma Xi at GM R&D Chapter in 2011-2012.  Wende has a doctoral degree in Electrical and Computer Engineering from Carnegie Mellon University and currently is pursuing an MBA at Indiana University.

Dr. Wende Zhang research interests include Perception and Sensing for Automated Driving, Pattern Recognition, Computer Vision, Artificial Intelligence, Security, and Robotics. As BFO of viewing systems, he transferred his research innovation into multiple industry-first applications, such as Rear Camera Mirror (Named 2015 Popular Science ‘Best of What’s New’ award winner and  2016 Best New Safety Technology) and Video Trigger Recording on MY16 Cadillac CT6, Front Curb Camera System on MY 16 Chevrolet Corvette.  Wende Zhang was the technical lead on computer vision and the embedded researcher in the GM-CMU autonomous driving team that won the DARPA Urban Challenge in 2007. He has 80+ US patent applications and 30+ publications in sensing and viewing systems for automated driving and active safety.

A solvable challenge? – The Validation of Automated Vehicles

From 1995 to 2004 Mr. Glander worked within particle physics and gained detailed experience in detector / sensor physics, pattern recognition, tracking and fusion algorithms.

From end of 2004 to mid of 2009 he worked for Siemens VDO, later Continental on the algorithm development for Advanced Driver Assistance Systems.

Some of the highlights were the development of  the blind spot detection algorithm for Siemens VDO 24GHZ UWB FMCW phase-monopulse radar for US market for Mazda and European Market for Volvo Truck. After the merge of Continental and Siemens VDO he was responsible for all 24GHz algorithms and customer functions for 77GHz, Lidar and Camera, take as example the Emergency Braking module for BMW iBrake, sensor-independent Forward Collision Alert or GPS-supported Speed Limit Assist.
Mid 2009 he changed for TRW for the ECU development for Active Restraint Systems and Steering Wheel electronics.
Since February 2014 he is technical responsible for the automated driving program at TRW.

A Scalable Architecture and Function Path from Assisted to Automated Driving

Dissertation in physics with work centered in theory of non-linear systems. 3 years of work as system engineer for development of high-end measurement electronics in Berlin. In 1991 start at Robert Bosch GmbH as engineer within the Corporate Research and Development, since 1995 in charge of the development of new vehicle guidance systems. In 2001 change to the product division Driver Assistance Systems within Bosch, with consecutive responsibilities for function development and advanced engineering. Since 2010 product manager in charge of system and function topics.

Integral Cognitive and System Safety for SAE Automation Level 2 systems

Dr.-Ing. Manfred Schölzke is Engineering Group Manager for "Vehicle System Safety" within the E/E department of Adam Opel AG. Before his current assignment, he led the group responsible for "System Configuration & Release Management". He has more than fifteen years of Systems and Software Engineering experience in the Automotive Industry.  From University of Kaiserslautern he earned his doctoral degree with the thesis titled “Timing-driven Floorplanning for hierarchical VLSI designs”.

Intelligent Drive next LEVEL on the way towards autonomous driving – What for technical & business challenges will we have to take further steps to higher automation levels?

Eberhard Zeeb studied physics at the Technical University of Braunschweig and at the University of Würzburg with a focus on theoretical solid-state physics and was a member of the University of Ulm.
In 1995, Eberhard Zeeb began working for Daimler AG and initially worked on secure optical communications networks and data buses for commercial aircraft applications and motor vehicles. From 2002 to 2005 he was Head of the Department of Optoelectronic Systems with working centers in optical sensor technology, optical connection technology and lighting technology. He then moved to the Daimler Driving Simulation Center and was responsible for the operation and further development of the driving simulators. Since December 2012, he has been head of Daimler's Automotive Automation Department.

Virtual Testing & Simulation of automated vehicles - Challenges for virtual testing scenarios for Level 3 & 4

Senior embedded systems hardware/software developer with extensive domain knowledge in automotive electronics and software. Applied robotics, path planning, advanced control systems, non-linear control, physical system modeling, algorithm development, fixed-point math implementations.

Specialties: Automotive, Matlab, Simulink, Real-Time Workshop, Code Generation, C, C++, Python, Automated Testing, dSPACE, Automotive, ASAM, XCP

  • Autopilot Engineer, Technical Lead, Autopilot Simulation Team, Tesla Motors, January 2016 – Today
  • Senior Controls Engineer, Vehicle Engineering, Tesla Motors, August 2013 – January 2016
  • Electrical Engineer, Honda Performance Development, November 2010 – August 2013
  • Electronics Engineer, Iders Incorporated, Mai 2010 – November 2010

What are the next challenges on automation levels, specifically 3-5?

11/2013 – Today, Head of Predevelopment, Driver Assistance Systems, Audi AG
01/2010 - 10/2013 – Head of AARU Traffic accident research, Audi AG
03/2004 - 12/2009 - Group research, head of operating concepts and drivers, Volkswagen AG
2001 – 2004, Teamlead, GRP Bad Tölz
1999 – 2001, Project Lead, Sciencia GmbH


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