What is it about?
Synthesis of a radar perception algorithm mapping the neural domains of autonomous objects characterizing their collision risk and the assessment of the degree of radar perception on the example of multi-object autonomous driving simulation.
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Why is it important?
The advantage of the presented method for determining the optimal safe autonomous driving path is its low sensitivity to the inaccuracy of the input data from the radar device.
Perspectives
Using the collision risk matrix game model, cooperative and non-cooperative.
Professor Józef Andrzej Lisowski
Read the Original
This page is a summary of: Radar Perception of Multi-Object Collision Risk Neural Domains during Autonomous Driving, Electronics, March 2024, MDPI AG,
DOI: 10.3390/electronics13061065.
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