For safety's sake, a self-driving ... using unlabeled data to perform scene flow training. Because unlabeled data is relatively easy to generate by mounting a lidar on a car and driving around ...

High-quality data is the fuel that powers AI algorithms. Without a continual flow of labeled data ... biggest hurdles overcome when building self-driving systems. We want to democratize access ...

Some data may flow to remote computers for crunching, too. Cars will need to talk to each other, as well, for a better sense of how traffic patterns in the immediate area are developing.

You might think that you do not have what it takes to build a self-driving ... on an RC car to do the heavy lifting and called it carputer. The computer reads Hall effect sensor data from the ...

The use of autonomous vehicles to regulate traffic flow is the next innovation ... by crowd-sourced GPS data in many navigation systems, the use of self-driving cars is poised to replace classical ...

Each involved giving software capabilities needed for self-driving cars ... stockpiles of data. He discussed projects using data from cameras and other sensors to spot cars and pedestrians ...

Waabi says its new model can anticipate how pedestrians, trucks, and bicyclists move using lidar data. Self-driving ... fewer hours of road-testing self-driving cars, a charged topic following ...