Autonomous Driving Data Enhancement Program
The main applications of ReCamMaster in the field of autonomous driving are:
- Multi-perspective data generation::
- Capture single camera road video
- Batch selection of 10 preset trajectories to generate multi-angle versions
- Constructing training datasets that cover different perspectives
- Extreme Scenario Simulation: Generate virtual scenes (e.g. sudden appearance of pedestrians) beyond the original viewpoint by means of the screen expansion function.
- Professional level program: Training perceptual models using the MultiCamVideo dataset (containing 136,000 synchronized videos)
Implementation Path:
- Install the local version of the toolchain and configure batch processing scripts
- Establishment of an automated assembly line to process in-car camera material
- Integrated validation with simulation platforms such as CARLA
Benefit Analysis: Compared to the physical multi-camera solution, it can reduce the cost of data acquisition by 90%, while supporting the generation of hazardous scenarios that are difficult to capture in reality. The Azera test case shows that training with generated data can reduce the false alarm rate of the AEB system by 37%.
This answer comes from the articleReCamMaster: Rendering Tool for Generating Multi-View Videos from a Single VideoThe
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