Starsky Robotics was the first to test a driverless truck on the highway. This thinly capitalized company is zigging while the rest of the industry is zagging.
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I’ve talked to other technology firms trying to solve the autonomous truck problem. They use LIDAR and look to combine it with cameras, and regular radar. Evenis being touted as a redundant sensing technology. The idea is that sensor redundancy is necessary for safety and that different sensors perform well in different environmental situations.
Starsky argues that SLAM is useful for navigating in the local environment but not in the global environment . High-precision GPS can replace SLAM for the global environment. However, other autonomous vehicle suppliers point out that GPS may suffer reduced performance or outages. SLAM can fill in the gaps in navigation in the case of these difficulties.
Some autonomous vehicle companies believe that even trucks that travel on the interstate need to have the kind of robust autonomous navigation capabilities needed in urban areas. The reasoning is that stupid things do happen. Pedestrians do attempt to run across a highway, or cyclists may be riding on the berm, or animals do manage to get on the highway.
Mr. Seltz-Axmacher’s view is that adds too much complexity to logistics and adversely impacts the ROI of the solution. Starsky trucks will travel from distribution center to distribution center, on the highway as well as on the local roads to the warehouse.
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