基于LiDAR的强度感知户外3D物体检测
Ammar Yasir Naich1, Jesús Requena Carrión1
1School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了一种强度感应的voxel编码器,以改进使用LiDAR数据进行3D对象检测. 这种新的方法提高了对环境噪声的稳定性,为特定对象实现了卓越的性能和更快的推断速度.
科学领域:
- 机器人技术和自主系统
- 计算机视觉 计算机视觉
- 传感器融合式传感器
背景情况:
- 基于LiDAR的3D物体检测对于自主导航至关重要.
- 现有的方法依赖于几何特征,易受环境噪声的影响 (例如,恶劣天气).
- 在具有挑战性的条件下需要强大的特征提取方法.
研究的目的:
- 为强大的3D物体检测提出一个强度感知的voxel编码器.
- 通过使用强度分布信息来增强LiDAR点云功能.
- 为了提高基于voxel的单阶段探测器的性能和效率.
主要方法:
- 开发了一种强度感知的语音编码器,生成强度直方图.
- 将编码器集成到一个高效的基于voxel的单阶段3D对象探测器中.
- 在KITTI数据集上评估了该方法.
主要成果:
- 与最先进的方法相比,汽车对象获得了可比的3D检测结果.
- 对于行人和自行车物体来说,已经证明了卓越的检测性能.
- 在较低的计算成本下获得了40.7 FPS的高检测率.
结论:
- 强度感应的voxel编码器显著提高了基于LiDAR的3D物体检测的稳定性.
- 拟议的方法为自主导航系统提供了具有竞争力和高效的解决方案.
- 强度信息是提高3D对象检测准确性和速度的有价值功能.
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