Skip to main content

Ford equips autonomous cars with night vision

Ford recently conducted tests at its Arizona proving ground to determine how autonomous cars could navigate at night without headlights. According to Ford, it’s an important development, in that it shows that even without cameras, which rely on light, Ford’s LiDAR, working with the car’s virtual driver software, is robust enough to steer around winding roads. While it’s ideal to have all three modes of sensors, radar, cameras and LiDAR, the latter can function independently on roads without stoplights.
April 13, 2016 Read time: 2 mins
278 Ford recently conducted tests at its Arizona proving ground to determine how autonomous cars could navigate at night without headlights.

According to Ford, it’s an important development, in that it shows that even without cameras, which rely on light, Ford’s LiDAR, working with the car’s virtual driver software, is robust enough to steer around winding roads. While it’s ideal to have all three modes of sensors, radar, cameras and LiDAR, the latter can function independently on roads without stoplights.

To navigate in the dark, Ford self-driving cars use high-resolution 3D maps, complete with information about the road, road markings, geography, topography and landmarks like signs, buildings and trees. The vehicle uses LiDAR pulses to pinpoint itself on the map in real time. Additional data from radar gets fused with that of LiDAR to complete the full sensing capability of the autonomous vehicle.

For the desert test, Ford engineers, wearing night-vision goggles, monitored the Fusion from inside and outside the vehicle. Night vision allowed them to see the LiDAR doing its job in the form of a grid of infrared laser beams projected around the vehicle as it drove past. LiDAR sensors shoot out 2.8 million laser pulses a second to precisely scan the surrounding environment.

Wayne Williams, a Ford research scientist and engineer was in the car following it’s progression in real time using computer monitoring. He claims it stayed precisely on track along the winding roads.

“Thanks to LiDAR, the test cars aren’t reliant on the sun shining, nor cameras detecting painted white lines on the asphalt,” says Jim McBride, Ford technical leader for autonomous vehicles. “In fact, LiDAR allows autonomous cars to drive just as well in the dark as they do in the light of day.”

Related Content

  • November 7, 2024
    A SIMPL idea from Seyond
    Intersection management solution combines Lidar and AI for traffic signal control
  • April 9, 2018
    Drone captures map of EastLink tunnel for self-driving car trials
    EastLink has used an aerial drone from Telstra to capture a Lidar map for its Mullum Mullum tunnel in Australia to help support safe trials of fully self-driving cars. Doug Spencer-Roy, EastLink’s corporate affairs and marketing manager, said that trial sites need to be mapped in high resolution to allow self-driving car prototypes to be conducted under controlled conditions to test their safe operation. Additionally, the process can also support the company’s maintenance activities, by allowing the deta
  • July 6, 2021
    Toshiba upgrades solid-state Lidar
    Toshiba's Lidar operates in a variety of lighting and weather conditions to 200m
  • November 26, 2013
    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