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

  • April 2, 2020
    Ford Mobility: analytics aids transport proactivity
    Ford Mobility has demonstrated how data analytics can help implement London's transport strategy in areas such as traffic re-timing and in eliminating all road fatalities (Vision Zero) by 2041.
  • March 4, 2024
    Let’s explore Phoenix: Getting transit right in the hottest city in the US
    Ahead of ITS America's Conference & Expo in Phoenix, ITS International asked Transit Unplugged's Paul Comfort (with Tris Hussey) to offer some thoughts on urban mobility in this part of Arizona
  • February 27, 2013
    The benefits of combining enforcement and traffic management
    Jason Barnes considers how combining enforcement equipment with other traffic management technologies might benefit our future – if only the will were really in place to do so. During the ITS World Congress in Vienna in October last year, Navtech Radar and Vysion­ics ITS announced a strategic partnership that would combine the expertise of Navtech in millimetre-wave wide-area surveillance technology with Vysionics’ machine vision-based automatic number plate recognition (ANPR) and average speed measurement
  • February 11, 2016
    US regulator ‘paves the way for Google’s self-driving car’
    A letter to Google, the US federal transport regulator, National Highway Traffic Safety Administration (NHTSA), appears to pave the way for self-driving cars, but adds the proviso that the rule-making could take some time. Google had requested clarification of a number of provisions in the Federal Motor Vehicle Safety Standards (FMVSSs) as they apply to Google’s described design for self-driving vehicles (SDVs). “If no human occupant of the vehicle can actually drive the vehicle, it is more reasonable