Video
How LiDAR Enhances Hawkeye: A Game-Changer for Safety and AI Vision
An exploration of how LiDAR depth measurements could complement Hawkeye’s cameras and AI to improve awareness in safety-critical cycling scenarios.
Video summary
This video explains scanning LiDAR as light-based detection and ranging that repeatedly sends a beam, measures the response and rotates to build a picture of the surrounding scene. It points to uses in mapping, autonomous-driving tests and collision-avoidance systems.
For the Hawkeye cycling concept, the speaker considers whether scanning LiDAR could supplement cameras by measuring objects behind and to the sides of a rider. A low-cost system discussed has a range of around twelve metres, which the speaker considers insufficient as a main warning system but potentially useful for added situational awareness.