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.”

For more information on companies in this article

Related Content

  • Machine vision standards definition moves forward with establishment of new forum
    December 3, 2012
    The new Future Standards Forum will homogenise standards develop in the machine vision and partnering sectors. Here, machine vision industry experts discuss developments. By Jason Barnes At the Vision Show, which took place in Stuttgart at the beginning of November, the European Machine Vision Association, the US’s Automated Imaging Association and the Japan Industrial Imaging Association (JIIA) established a joint initiative, the Future Standards Forum (FSF). This, said the EMVA’s President Toni Ventura, a
  • Semi-autonomous hybrid vehicle trials show fuel, emission savings
    July 16, 2012
    The Transport Research Laboratory has unveiled an innovative semi-autonomous vehicle prototype. It offers improves in environmental performance and safety but also displays some shortcomings. Mike Woof reports. The UK's Transport Research Laboratory (TRL) has been working on an innovative project to develop a prototype vehicle intended to reduce fuel consumption. Based on a Ford Escape hybrid model, TRL's Sentience vehicle uses a combination of mobile communications and mapping technologies to reduce fuel c
  • Aurora starts driverless delivery in Texas
    May 2, 2025
    Firm says it is first to operate commercial, self-drive heavy truck service in US
  • The rise and rise of robo-car
    July 23, 2019
    When it comes to driverless cars, there are many variables – but one thing is for certain: autonomous driving will have a significant impact on vehicle design, says Andreas Herrmann The transition to autonomous vehicles (AVs) means that many of the factors which have shaped automotive design for the past 130 years no longer apply. At present, the design of a car is largely determined by the anticipated direction of travel: the car’s silhouette immediately shows where the front and back are. Driverless ve