In recent years, research on Vehicle-to-Everything (V2X) cooperative perception algorithms mainly focuses on the fusion of intermediate features from LiDAR point clouds. Since the emergence of ...

With this representation, we can apply different existing LiDAR-based detection algorithms. On the popular KITTI benchmark, our approach achieves impressive improvements over the existing state of-the ...

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

Stereo camera-based 3D object detection (Chen et al., 2020; Chen et al., 2017; Li et al., 2019) is a sophisticated technique that harnesses the power of multiple precisely calibrated cameras mounted ...

With the rapid development of Artificial Intelligent algorithms on Computer Vision, 2D object detection has greatly succeeded and been applied in various industrial products. In the past several years ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system. ScienceDaily . Retrieved May 13, 2025 from www.sciencedaily.com / releases / 2022 / 12 / 221212140800.htm ...

We found that the use of LiDAR is effective in object detection in 3D space. The Point-GNN algorithm gave the best results in a 3D environment, with close to 90% precision for detecting cars. Modified ...

--WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced that its R&D team is working on a 3 D object detection algorithm based on multi-channel ...