LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
Junming Zhang,Manikandasriram Srinivasan Ramanagopal,Ram Vasudevan,Matthew Johnson-Roberson,Junming Zhang,Manikandasriram Srinivasan Ramanagopal,Ram Vasudevan,Matthew Johnson-Roberson
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matching algorithms are used to acquire such depth information. However, a high-resolution LIDAR is expensive and produces sparse depth map at large range; stereo matching algorithms are able to generate denser depth maps but ...
