Details of the perception dimension
| Name | Subdetail | Subemphasis | |
|---|---|---|---|
| Lane edge detection | Rapid and accurate detection of the lane edge | Rapidity: In straight or curve, the change from solid line to broken line; from speed-change lane to solid/broken line, etc. Accuracy: Detection accuracy of different types of traffic lines | |
| Robustness under varying conditions | Majorly focus on the environmental change: Illumination change, for instance, approaching the light source; in or out of the tunnel, etc. Weather change, snowy, heavy rain, foggy, dust storm, etc | ||
| Moving and static object detection | Moving object detection | The moving targets in the transportation system contain different types of vehicles, passenger cars, commercial vehicles, cyclists and pedestrians | |
| Static object detection | Major parts are vehicles, walls, cyclists and pedestrians | ||
| Robustness of moving and static object detection | Majorly focus on the environmental change: Illumination change, for instance, approaching the light source; in or out of the tunnel, etc. Weather change, snowy, heavy rain, foggy, dust storm, etc | ||
| Name | Subdetail | Subemphasis | |
|---|---|---|---|
| Lane edge detection | Rapid and accurate detection of the lane edge | Rapidity: | |
| Robustness under varying conditions | Majorly focus on the environmental change: | ||
| Moving and static object detection | Moving object detection | The moving targets in the transportation system contain different types of vehicles, passenger cars, commercial vehicles, cyclists and pedestrians | |
| Static object detection | Major parts are vehicles, walls, cyclists and pedestrians | ||
| Robustness of moving and static object detection | Majorly focus on the environmental change: | ||
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