… A vehicle detection method based on the multisensor fusion is proposed in this paper. Using
the calibration relationship between the lidar and camera, the region of interest extracted by …

… In Section VA–C of this article, the vehicle detection method based on the fusion of different
sensors (stereo vision, radar camera, and lidar camera) has been introduced in detail. It is …

… our depth completion algorithm is designed for vehicle detection, it … detection, and optical
flow. The proposed decision-level fusion method is also universal in the field of sensor fusion. …

… on object detection using image and point-cloud was … the fusion-based structure, the object
detection method was … and point-cloud fusion types: early fusion, deep fusion, and late fusion. …

… vehicle environment reconstruction based on the fusion of camera and LIDAR data to support
the task of vehicle detection … on vehicle detection from image and 3D point cloud data [11]. …

… 3D keypoints fusion still achieves higher detection accuracy. … feature fusion scheme for
cooperative vehicle detection to … that are based on the BEV feature fusion. 2) We introduce a …

… vehicles have seen dramatic advances in recent years; however, it still lacks of robust perception
systems for car detection… a LIDAR and vision fusion system for car detection through the …

… -based sensors and instrumented vehicles. We propose an automatic moving vehicle
detection system for wide area aerial video based on semantic fusion of motion information with …

… , we applied SSD heads on the fusion feature … our vehicle detection network. It should be
clear that since we are mainly focusing on vehicles, there are only a handful classes of vehicles …

… vehicle localization framework based on multi-sensor fusion … point cloud feature
matching and object detection. The ego … with nlos and malicious vehicle detection in gnss-challenged …