“Autonomous vehicles will disrupt and revolutionize mobility for communities, corporations and consumers.”
2getthere will be presenting at the second annual SmartDrivingCar Summit, reporting on the developments in relation to the recent announcement for the Rivium, NTU and Zaventem projects. The conference brings together buyers, sellers and facilitators of autonomous cars, trucks, and buses. It looks at the economic forces behind deployment and commercialization of autonomous vehicle technology—supply, demand, and public oversight.
The event is co-chaired by Prof. Alain Kornhauser of Princeton University and features a mix of academic, industry, and government speakers with each session packed with multiple experts. The conference features six workshops that will examine:
– Near-term autonomous vehicle deployment in the U.S.
– Near-term autonomous vehicle deployment in China and Europe
– The role of insurance in facilitating adoption by individuals, corporations and transit agencies
– Artificial intelligence, looking at sensors, software and data
– Ride hailing services, reviewing conventional, self-driving and driverless advances
– The what, how and when of achieving best outcomes in metropolitan planning
Near-term Safety Benefits of Safe-driving Cars
How insurance and new car dealers can benefit by promoting the RoI advantages to fleets and mutually beneficial promotional discounts to consumers. As well as an update as to the performance in automatically avoiding crashes of the technology options available in showrooms today.
Near-term Regulatory Challenges
that are needed to facilitate the shared use of our existing streets by low and normal speed Driverless vehicles
Near-term Mobility and Community Service Benefits
of the array of emerging low-speed Driverless shuttles to all in gated communities and campuses, to the mobility disadvantaged in many/most suburban communities and to address first-mile, last-mile accessibility challenges in transit-oriented communities
The Current State-of-the-art in DeepDriving
to the long-term opportunities of using affordable Computer Vision and elegant Deep Learning training, testing and enhancing techniques in SmartDrivingCars, and more.