Roadside LiDAR with human QA produces auditable near-miss evidence at urban intersections, showing lateral intrusion as the dominant conflict type in a heavy-vehicle–bicycle case while reducing common tracking failures.
Phd dissertation, Link¨oping University, Link¨oping, Sweden
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Roadside LiDAR for Cooperative Safety Auditing at Urban Intersections: Toward Auditable V2X Infrastructure Intelligence
Roadside LiDAR with human QA produces auditable near-miss evidence at urban intersections, showing lateral intrusion as the dominant conflict type in a heavy-vehicle–bicycle case while reducing common tracking failures.