Theme Intelligent Vehicles

 The following speakers are confirmed for the

Intelligent Vehicles session:

Chair Riender Happee (Delft University of Technology/ Robotics Institute)

Florien van der Windt (Ministry of Infrastructure and the Environment)

Sjoerd van der Zwaan (2getthere)

Jack Martens (DAF Trucks)

Tom Westendorp (Nvidia)

Mel Torrie (ASI)


Sjoerd van der Zwaan, 
CTO, 2getthere B.V.
As the Chief Technology Officer at 2getthere, Sjoerd van der Zwaan is responsible for the technology roadmap within the company. Sjoerd has a background in Robotics and Computer Vision and has a solid experience in the industry having managed engineering and software development teams within that field. Within 2getthere, Sjoerd works on solutions for smart mobility of the future, based on shared autonomous vehicles, focusing on the development of new technology, which goes hand in hand with safety, system reliability and service levels.

 Jack Martens DAF Trucks
Title: Platooning drivers for the future

Abstract: Automation and connectivity are major developments that will impact European road transport significantly.

A great example is truck platooning, whereby vehicles are linked wirelessly and communicate with each other  through Wi-Fi, radar and intelligent camera systems. By smartly integrating automation and connectivity, truck platooning addresses a number of challenges we are facing ;

There are even more drivers of realizing Truck Platooning in the best possible way in future.  What about the men and women behind the wheel? The real drivers. The presentation will address the great topic of truck platooning from all angles and underline that there is still a way to go to have it on the road.

Tom Westendorp Nvidia
Abstract: AI- Accelerating the race to autonomous cars and transportation systems

Every automaker is working on driver assistance systems and self-driving cars. Next to that, tier 1’s, mobility providers, software developers, universities and research centers are all working on this topic as well. Conventional computer vision used for ADAS is reaching its threshold because it is impossible to write code for every possible scenario as a vehicle navigates. In order to develop a truly autonomous car, deep learning and artificial intelligence are required. With deep learning, the vehicle can be trained to have super human levels of perception, driving safer than anyone on the road. An end-to-end artificial intelligence platform based on supercomputers in the cloud and in the vehicle enables cars to get smarter and smarter. Coupled with an extensive software development kit with vision and AI libraries and software modules, automakers, tier 1s, and startups can build scalable systems from ADAS to full autonomy.

Mel Torrie ASI
Title: State of the Art Technology for Driverless Ag, Mining, Security, Cleaning, and Automotive

Abstract: Autonomous Solutions, Inc. (ASI) has robotic vehicles operating around the world in markets like mining, agriculture, automotive, security, and industrial automation and there have been many lessons learned. Technology developments like ASI’s proprietary Mobius command and control software allow a single operator to remotely operate a fleet of vehicles. However, ASI’s driverless technology wouldn’t be possible without the continued work to take steps forward in the development of improved localization for increased accuracy for indoors and outdoors as well as the environmental awareness for obstacle detection and avoidance. ASI engineers have had to take every step along the way to make the technology smarter and more aware of its surroundings. For 17 years, ASI has been a leader in robotics and vehicle automation and Mel Torrie will share ASI’s experiences in these endeavors.

Chair: Riender Happee: coordinates Automotive research and education at TU Delft with a focus on human factors, biomechanics, automated driving, and driver modelling. As project manager of the Dutch Automated Vehicle Initiative (DAVI), he coordinates automated vehicle development to investigate the human interaction with automation in highway conditions and full automating in low speed urban conditions. He received his MSc in Mechanical Engineering (1986), and PhD (1992) at TU Delft. He investigated crash safety at TNO Automotive (1992-2007), is currently employed at TU Delft at the Faculties of Mechanical, Maritime and Materials Engineering, and Civil Engineering and Geosciences, and is visiting professor at the TU Munich.

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