Widespread SAE Level 4 and 5 operation in commercial vehicles may be a little further in the future than originally promised, but that has neither slowed nor diminished the industry’s development and testing efforts. Trucking in particular is highly motivated to pursue greater levels of automation to help combat the severe and worsening driver shortage. This 60-minute Webinar from the editors of Truck and Off-Highway Engineering examines the latest developments and sticking points to bringing true driverless trucks to our roadways. Topics include:
- The role of connectivity for digital mapping and real-time traffic information in avoiding disruptions that may adversely impact uptimeThe effects of cabin-mounted cameras on field of view during AEB
- Mastering the demanding validation tasks of autonomous driving through virtualization
- Verifying the impact of truck dynamics on the perception layer and object detection of the AV stack
- The need for a safe approach to industrializing and bringing to market automated trucking solutions
- The need for a complete safety concept to account for system faults, situations typically handled by the driver, and when a function cannot be supported (i.e., SOTIF)
- The unique technical challenges inherent in mass deployment of highly automated trucks
- The innovations in sensing design, software optimization, scalable solutions for perception and localization, and differentiated approaches to data management and online learning required to addressing these technical challenges
An audience Q&A follows the technical presentations.
Anurag Ganguli, Ph.D., Vice President, Research and Development, Plus
Dr. Anurag Ganguli serves as Vice President of Research and Development at Plus where he defines and implements the product roadmap and development milestones of the company's Level 4 driverless-truck technology. Anurag also played a key role in helping repackage Plus's driverless technology to become a driver-in product, PlusDrive, that was launched as a commercial product in February 2021. Prior to joining Plus, he was a Research Manager at the Palo Alto Research Center focusing on technologies for intelligent transportation systems. Anurag also previously helped develop collision-warning systems for cars and autonomous drones at Delphi and UtopiaCompression Corporation. He holds a bachelor’s degree in mechanical engineering from the Indian Institute of Technology, Bombay, and a Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign.
Michael Peperhowe, Lead Product Manager, Simulation Models and Scenarios, dSPACE GmbH
Michael Peperhowe is the Lead Product Manager of Simulation Models and Scenarios for the Automated Driving and Software Solutions unit at dSPACE GmbH in Germany. He oversees the product management of dSPACE's Automotive Simulation Models for vehicle dynamics and ADAS/AD applications, as well as the physics-based sensor simulation product, AURELION, and the cloud-based validation solution, SIMPHERA. Michael has 15+ years of experience in the simulation of vehicle dynamics, as well as traffic scenarios, with a focus on autonomous driving. His background includes model-based design for the development of controllers and testing/validation via hardware-in-the-loop and software-in-the-loop systems within worldwide projects in the automotive and transportation industries. He has a master's degree in technical mathematics with a focus on computer science and engineering.
Tom Tasky, Vice President, FEV.io
Tom Tasky is Vice President of FEV.io where he is responsible for leading intelligent mobility and software development for connected and automated mobility solutions; systems engineering, including functional safety and cybersecurity; and software solutions for a range of industries and applications. Tom has more than 30 years of industry experience, ranging from powertrain systems development, vehicle diagnostics, and networking to electrical systems development and integration for prototype and series production programs for gasoline, battery electric, hybrid, and automated vehicles. He previously served as FEV's Director of Intelligent Mobility, helping to drive business development and associated capabilities for the company. Prior to joining FEV, he held various engineering and management positions with Magna and Chrysler. Tom holds a bachelor's degree in electrical engineering from Lawrence Technological University and a master's degree in business administration from the University of Detroit, Mercy.
Amanda Hosey, Editor, SAE Media Group