The Road To Autonomous Truck Viability Begins To Clear

27 November 2018

When it comes to an autonomous truck driving on the interstate, there are several issues that need to be solved.

The lidar arrays used to sense the environment and map a truck’s location are very expensive. And there is the question of how a vehicle gets updated maps. Does it store it in the truck? Or does it download the maps?  Both approaches have drawbacks. Finally, lidar and cameras don’t work well in all environmental conditions.

The last of these problems, being able to drive autonomously in all conditions, appears to be well on the way to being solved. Currently, autonomous vehicles rely on three means of location: GPS, lidar, and camera image processing. GPS is dependent on a good connectivity; it’s also not accurate enough at highway speeds for precise localization. Lidar and cameras are useless in heavy rain and snow. Even fog or unexpected ground cover, like leaves on the ground, or poor lane markings can cause problems.


Post written by Steve Banker

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