LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic - Release v2.1.0 · w111liang222/lidar-slam-detection
object detectionThis paper considered an object detection system based on 3D LiDAR Sensor and Simultaneous Localization and Mapping (SLAM) to complete the navigation applications of mobile robots. A 3D-based SLAM with lightweight and ground-optimized Lidar odometry and mapping (LeGO-LOAM) appropriately...
Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud ... P Melo-Pinto - 《Sensors》 被引量: 0发表: 2021年...
Loop-closure detection, also known as place recognition, aiming to identify previously visited locations, is an essential component of a SLAM system. Existing research on lidar-based loop closure heavily relies on dense point cloud and 360 FOV lidars. This paper proposes an out-of-the-box NDT ...
This study proposes a simultaneous localization and mapping (SLAM) method, using around view monitor (AVM)/light detection and ranging (LiDAR) sensor fusion, that provides rapid loop closing performance. We extract the parking line features by utilizing the sensor fusion data for sparse ...
LIDAR object detection on the 2020 Power Cell gamepieces Generating a trajectory on the fly to an object detected with LIDAR Odometry is provided by the V-SLAM camera. The robot drive to the center of the ball. Using SpartronicsLib
Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud ... P Melo-Pinto - 《Sensors》 被引量: 0发表: 2021年...
LIDARAUTONOMOUS robotsDEEP learningPOINT cloudIn this paper, we present a mapping system based on an autonomous mobile robot equipped with a LiDAR device and a camera, that can deal with the presence of people. Thanks to a deep learning appro...
However, pure LiDAR-SLAM estimated solution remains faults in each measurement, which will propagate through computation and leads to false navigation outcome. Therefore, this paper proposed Fault Detection, Isolation, and Exclusion (FDIE) scheme to ...
Forest feature LiDAR SLAM (F2-LSLAM) for backpack systems Recent advances in sensor and algorithmic technologies have led to the exploration of remote/proximal sensing for automated forest inventory at various sca... T Zhou,C Zhao,CP Wingren,... - 《Isprs Journal of Photogrammetry & Remote ...