LiDAR
A remote sensing technology that uses laser pulses to create precise 3D point clouds of the environment – the "3D eye" of autonomous vehicles.
LiDAR creates precise 3D maps via laser – the "eye" of autonomous vehicles that measures distances with centimeter accuracy.
Explanation
LiDAR sends millions of laser pulses per second and measures return time for exact distances. Spinning LiDAR (Velodyne) and solid-state LiDAR (Luminar, Hesai) are the main types. Generates 3D point clouds with cm accuracy.
Marketing Relevance
Key sensor for autonomous driving (Waymo, Cruise), surveying, archaeology, and AR. Costs dropped from $75,000 (2007) to under $500 (2024).
Common Pitfalls
Performance degradation in rain/fog, high data rates require edge processing, costs declining but still significant, Tesla vs. Waymo debate (camera vs. LiDAR).
Origin & History
LiDAR was developed in the 1960s after laser invention. Velodyne introduced the first automotive LiDAR in 2005. DARPA Grand Challenge popularized LiDAR for autonomous driving. In 2024, solid-state sensors cost under $500.
Comparisons & Differences
LiDAR vs. Radar
Radar uses radio waves and works in any weather but has lower spatial resolution; LiDAR offers cm accuracy in clear conditions.
LiDAR vs. Camera (Computer Vision)
Cameras provide 2D images with color information; LiDAR provides direct 3D depth measurements without color.