From 2D cameras to 3D Lidar modeling, from passenger cars to trucks, AI scenarios of autonomous driving are being implemented at a high speed.
With the aid of high-quality labeled data, which are identifiable by ML, can assist driving technology, better perceive the actual road, vehicle location, and obstacle information, detect fatigue behaviors, and alarm road risks in real-time, achieving the goals such as auto-driving and automatic parking.
Now let’s have a look at a lane detection labeling case.
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