The Automated Vehicle Symposium is taking place in Orlando, Florida until July 18, sponsored by the Association for Unmanned Vehicle Systems International (AUVSI). There were announcements from Aurora, Uber, Peloton and Velodyne.
Chris Urmson, Aurora co-founder said safety and convincing the public they can be safe are the greatest challenges for automated vehicles.
Urmson has developed self-driving and robotics technology for the past 20 years. Prior to founding Aurora, he was the chief technology officer for self-driving cars at Alphabet. Urmson previously worked as an assistant research professor at Carnegie Mellon University, where he helped the university’s team win the 2007 DARPA Urban Challenge. Urmson earned his doctorate degree in robotics from Carnegie Mellon in 2005.
Noah Zych, the chief of staff for Uber’s Advanced Technology Group, systems said that safety is not the biggest issue, but if the companies developing technology and regulation are trustworthy. He says, that Uber has a responsibility … to earn that trust.”
Uber’s goal is to make its work accessible to the public and to share data within the industry. Uber has published a safety case framework.
The Uber Safety Case Framework covers testing and development of its self-driving system, both with and without at backup drivers, as well as passenger operations on public roads. The goal of the he first layers of this framework is to provide additional transparency around its safety approach, and will include further details in the coming months.
In order to realize the potential of self-driving technology to its fullest, we must
The Automated Vehicle Symposium is being held in Florida where there 22 different connected vehicle deployments. HB 311 is helping to jumpstart self-driving vehicles including supporting Florida Department of Transportation and Florida’s Turnpike Enterprise to create pilot programs.
Today, Peloton Technology Inc., , nveiled its vision for doubling the productivity of drivers through the development of its new Level 4 Automated Following solution, an advanced platooning system, using vehicle-to-vehicle (V2V) technology to enable a single driver to drive a pair of vehicles
Peloton’s Level 1 (driver assistive) system, PlatoonPro, has a driver in both the lead and follow trucks. The driver in the follow truck steers, but the system controls the powertrain and brakes to manage the following distance very precisely and to provide immediate reaction to whatever acceleration or braking the lead truck performs.
PlatoonPro has now operated with 6 customers and additional customer fleet trials are underway.
Velodyne Lidar
Velodyne Lidar, Inc. is showcasing its smart, powerful lidar solutions for autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) at the Automated Vehicles Symposium,
The Velodyne booth highlights the Velodyne Alpha Puck, a lidar sensor specifically made for autonomous driving and advanced vehicle safety at highway speeds, and the directional view Velodyne Velarra, an integral component for ADAS. Velodyne’s lidar sensors deliver an industry-leading combination of long range, high resolution, and wide field of view. Velodyne is a high-volume supplier of lidar sensors to the automotive industry and has more than 250 customers globally.
Quantum
Anthony Tocco, Quantum’s global solution architect for autonomous research discusses the big data challenges associated with advanced driver assistance systems (ADAS) and offer some innovative storage solutions to help researchers cope with the flood of sensor data. The presentation explores how lidar, radar, and video data create large datasets, and explains how traditional storage solutions can fall short of addressing the problem. Tocco shows how to save money on infrastructure costs and leverage the savings for engineers and R&D.
Quantum technology and services help customers capture, create and share digital content – and preserve and protect it for decades. With solutions built for every stage of the data lifecycle, Quantum’s platforms provide the fastest performance for high-resolution video, images, and industrial IoT.