Pedestrian Detection Based on Panoramic Depth Map Transformed from 3D-LiDAR Data.
Guoqiang ChenZhuangzhuang MaoHuailong YiXiaofeng LiBingxin BaiMengchao LiuHongpeng ZhouPublished in: Period. Polytech. Electr. Eng. Comput. Sci. (2020)
Keyphrases
- pedestrian detection
- depth map
- lidar data
- high resolution
- d scene
- human body
- depth information
- field of view
- stereo matching
- three dimensional
- low resolution
- multi view
- object detection
- detection rate
- benchmark datasets
- super resolution
- high quality
- panoramic images
- urban environments
- point cloud
- stereo vision
- remote sensing
- image sequences
- stereo pair
- virtual reality
- urban areas
- image acquisition
- spatial resolution
- input image
- input data
- data sets
- image processing
- depth images
- face images
- structure from motion
- d objects
- frame rate
- stereo images
- object recognition
- pose estimation