Benzol Visual Perception
AI Vision for self-driving vehicle
DNN visual perception component used to feed the controller of a Vehicle collaborating with a human .
Branch switch
This video shows the switch of AI processing branches for different scenarios. According to the detected scenarios, the corresponding AI inference will be enabled or disabled.
- Branch 0 (left top): for scenario classification.
- Branch 1 (left bottom): enable in people scenarios.
- Branch 2 (right bottom): enable in car scenarios.
Adaptive optimization
This video shows the performance changes with above adaptive optimization methods.
- Branch 0 (Segmentation): the inference interval increases (1->5) for less performance cost.
- Branch 1 (Refindet & Openpose): the inference is disabled, because there is no person.
- Branch 2 (Yolo): the size of the model decreases and the inference interval increases (1->2)
4K mode
In the four channels (4k) mode, the output is 4K resolution. The results were drawn on 4 1080P videos streams. As shown in the video, the segmentation results from the management branch are put in the top left corner, while the data waveforms are put in the top right. The results from branches 1 and 2 are put on the bottom.