Litcius/Paper detail

Depth Sensing Beyond LiDAR Range

Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen

202026 citationsDOI

Abstract

Depth sensing is a critical component of autonomous driving technologies, but today's LiDAR- or stereo camera- based solutions have limited range. We seek to increase the maximum range of self-driving vehicles' depth perception modules for the sake of better safety. To that end, we propose a novel three-camera system that utilizes small field of view cameras. Our system, along with our novel algorithm for computing metric depth, does not require full pre-calibration and can output dense depth maps with practically acceptable accuracy for scenes and objects at long distances not well covered by most commercial LiDARs.

Topics & Concepts

LidarComputer scienceRange (aeronautics)Computer visionArtificial intelligenceCalibrationMetric (unit)Remote sensingDepth mapRangingStereo cameraDepth perceptionMeasured depthDepth of fieldPerceptionGeologyEngineeringImage (mathematics)MathematicsAerospace engineeringTelecommunicationsOperations managementStatisticsGeophysicsBiologyNeuroscienceRobotics and Sensor-Based LocalizationAdvanced Vision and ImagingAdvanced Optical Sensing Technologies