Skip to main content

Lidar technology wins big in China’s autonomous vehicle challenge

China’s fifth annual Future Challenge earlier this month pitted eleven unmanned intelligent vehicles against each other on a course designed to test their capabilities in suburban and urban road tests, over a 23-kilometre course. All of the first eight cars to finish were equipped with Velodyne’s 3D Lidar vision technology which provides active sensing for crash avoidance, driving automation and mobile road survey and mapping. Velodyne HDL-64E and HDL-32E sensors deliver 360-degree views of the car’s env
November 26, 2013 Read time: 2 mins
China’s fifth annual Future Challenge earlier this month pitted eleven unmanned intelligent vehicles against each other on a course designed to test their capabilities in suburban and urban road tests, over a 23-kilometre course.

All of the first eight cars to finish were equipped with Velodyne’s 3D Lidar vision technology which provides active sensing for crash avoidance, driving automation and mobile road survey and mapping. Velodyne HDL-64E and HDL-32E sensors deliver 360-degree views of the car’s environment, with real-time updates twenty times per second.

Cars on the course needed to demonstrate the ability to recognise light, eliminate human and vehicle interference, successfully detour around construction zones, turn around and come to a stop. All were also required to establish the ability to make a U-turn, accelerate and decelerate. Performance was graded on safety, smartness, smoothness and speed.

"This is simply a remarkable accomplishment," said Wolfgang Juchmann, PhD, 2259 Velodyne Lidar director of sales and marketing. "The Future Challenge course was nothing less than demanding throughout, with terrain and tests that demonstrated Lidar’s versatility and reliability in real time. And the fact that eight of eleven vehicles were so equipped stands as a huge vote of confidence in our technology."

For more information on companies in this article

Related Content

  • Mucca demos multi-vehicle collision avoidance tech
    March 26, 2020
    A project whose members include Connected Places Catapult and Cranfield University has developed technology which could reduce the number of vehicle collisions on UK motorways.
  • Innoviz Lidar targets V2X in China
    November 11, 2021
    Combined tech tie-up with JeuFX is expected to help sensors with obstacle detection
  • Google’s self-driving cars can ‘exceed the speed limit to aid safety’
    August 20, 2014
    According to Google's lead software engineer, Dmitri Dolgov, the company’s self-driving cars are programmed to stay within the speed limit, mostly. Research shows that sticking to the speed limit when other cars are going much faster actually can be dangerous, Dolgov says, so its autonomous car can go up to 10 mph (16 kph) above the speed limit when traffic conditions warrant. Dolgov told Reuters during a test drive that when surrounding vehicles were breaking the speed limit, going more slowly could act
  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val