The Importance of Data for Intelligent Driving Technology

The data output of intelligent driving sensors is generally divided into the following three types
The first is obstacle detection, obstacle tracking, and multi-sensor fusion. Smart Cloud-data crowdsourcing providers have been engaged in obstacle labeling for intelligent driving since 2015. In addition to the basic obstacle labeling capabilities of monocular and binocular cameras, fisheye cameras, and surround-view cameras, lidar point cloud data with different beams ranging from 4 lines to 128 lines can be annotated. In terms of multi-sensor detection(including lidar, camera fusion, and sensors such as millimeter-wave radar), multi-sensor annotation is feasible as well.


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