LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications
LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications explores A graph attention network that adaptively fuses multi-sensor data for accurate and robust extended object tracking in autonomous driving.. Commercial viability score: 7/10 in Autonomous Driving Perception.
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