AEye’s iDAR™ (Intelligent Detection and Ranging) is the world’s most intelligent artificial perception system for autonomous vehicles.
Only iDAR brings intelligence to the sensor layer. By fusing 1550 nanometer, solid-state agile LiDAR with a low-light HD camera, CV algorithms, and embedded AI – at the sensor – iDAR filters out the most important aspects of a given scene. With iDAR, the vehicle’s perception system can target only the salient 5% of data it needs to safely navigate.
Watch how.
- Fixed grid scan pattern with High Density Elevation coloring where blue indicates the highest elevation and red indicates the lowest.
- Moving grid scan pattern with iDAR edge detection enabled, also with High Density Elevation coloring.
- Moving grid scan pattern with iDAR edge detection enabled. The scene is colored by point type, where the “passive” points (part of the fixed background scan) are orange. The iDAR edge detection points – which pass only the scene’s relevant information to the perception system – are green. The computer vision edge detection algorithm analyzes the camera stream, which cues the LiDAR to optimally capture only the important aspects of the scene. Ensuring that iDAR never misses a thing!
- Moving grid scan pattern with edges only.
iDAR enables self-driving cars to see only what matters.
iDAR Sees Only What Matters —
- Elon Musk Is Right: LiDAR Is a Crutch (Sort of.)
- AEye’s $40M Series B Includes Numerous Automotive Leaders Including Subaru, Hella, LG, and SK
- AEye Extends Patent Portfolio, Creating Industry’s Most Comprehensive Library of Solid-State Lidar Intellectual Property
- AEye Announces Industry Leading Family of Perception Sensors for ADAS Solutions
- AEye Advisory Board Profile: Adrian Kaehler
- Leading Global Automotive Supplier Aisin Invests in AEye through Pegasus Tech Ventures
- AEye’s iDAR Shatters Both Range and Scan Rate Performance Records for Automotive Grade LiDAR
- Rethinking the Three “Rs” of LiDAR: Rate, Resolution and Range
- AEye Advisory Board Profile: Luke Schneider