Object Detection Using Stereo Vision and Radar Sensor Fusion

Small Object Detection Based on Stereo Vision*

Sensing the environment around the host vehicle is an essential task of autonomous driving systems and advanced driver assistance systems. Detecting small objects on road is one of the environment sensing tasks which LIDAR has some fundamental difficulties to handle. For example, assume a typical LIDAR, Velodyne HDL-32E, installed on the top of a vehicle with 2.4 meter high. According to the sp...

Radar-vision fusion for vehicle detection

This paper describes a vehicle detection system fusing radar and vision data. Radar data are used to locate areas of interest on images. Vehicle search in these areas is based on vertical symmetry. All vehicles found in different image areas are mixed together and a series of filters are applied in order to delete false positives. The algorithm analyzes images on a frame by frame basis, without...

Detecting Surface Waters Using Data Fusion of Optical and Radar Remote Sensing Sensor

Identification and monitoring of surface water using remote sensing have become very important in recent decades due to its importance in human needs and political decisions. Therefore, surface water has been studied using remote sensing systems and Sentinel-1 and Sentinel-2 sensors in this study. In this paper, two data fusion approaches and decision fusion improve the accuracy of surface wate...

Model Based Object Recognition using Stereo Vision

Model-Based Object Tracking Using Stereo Vision

Robust and accurate object recognition and tracking is a necessary pre-requisite for visual servoing tasks. While most approaches use monocular vision in order to solve this problem, this paper presents a new approach using disparity images provided by a stereo vision system from which 3-D models are reconstructed. We use a segmentation procedure based on a simple region growing process to segm...