Scherer. A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3-D Reconstructions. IEEE Robotics and Automation Letters, 4(4), 3585-3592, 2019. 摘要 融合相机和激光的数据十分吸引人,因为它们有互补的性质。例如,相机有
W. Zhen, Y. Hu, J. Liu, S. Scherer. A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3-D Reconstructions. IEEE Robotics and Automation Letters, 4(4), 3585-3592, 2019. 摘要 融合相机和激光的数据十分吸引人,因为它们有互补的性质。例如,相机有更高的分辨率和色彩,LiDAR数...
Cameras,Laser radar,Three-dimensional displays,Sensors,Calibration,Sensor fusion,InterpolationDense 3D reconstruction of the surrounding environment is one the fundamental way of perception for Advanced Driver-Assistance Systems (ADAS). In this field, accurate 3D modeling finds applications in many areas ...
RGB-D mapping: Using depth cameras for dense 3D modeling of indoor environments Experiment. Robot. (2014) T. Shan et al. LVI-sam: Tightly-coupled lidar-visual-inertial odometry and mapping H. Gao et al. Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle ...
Master thesis project realized in partnership with Aalto University and Finnish Geospatial Research Institute of Finland. Stereo Camera-LiDAR calibration. Covers: mono and stereo camera calibration, Camera-LIDAR synchronisation, camera-based and LiDAR-based 3D reconstruction, Camera-LiDAR extrinsic calibration...
For applications such as autonomous driving, robotics, navigation systems, and 3-D scene reconstruction, data of the same scene is often captured using both lidar and camera sensors. To accurately interpret the objects in a scene, it is necessary to fuse the lidar and the camera outputs togethe...
The fusion of the LiDAR and the camera can provide accurate and stable perception for the surrounding environments or benefit for 3D reconstruction. The basis of Figure 1. The proposed LCCNet takes the RGB and the projected depth image as inputs to predict t...
Geiger, A, Lenz, P, Urtasun, R: Are we ready for autonomous driving? the KITTI vision benchmark suite. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2012) Geiger, A, Ziegler, J, Stiller, C: StereoScan: Dense 3d reconstruction in real-time. In: Intelligent Vehicles ...
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation. IEEE Trans. Multimed. 2024, 26, 1158–1168. [Google Scholar] [CrossRef] Cadena, C.; Carlone, L.; Carrillo, H.; Latif, Y.; Scaramuzza, D.; Neira, J.; Reid, I.; Leonard, J.J. Past, present, and future...
(b) 3D reconstruction of travelled path in isometric perspective using Cartographer localization. (c) 3D reconstruction of travelled path in isometric perspective using RTAB-Map localization. As a final, bonus example going beyond our use case scenario, Figure 12 shows the mechanical effort-based ...