相关学术论文

Livox 激光雷达原理与应用

We propose a robotic lidar sensor based on incommensurable scanning that allows straightforward mass production and adoption in autonomous robots. Some unique features are additionally permitted by this incommensurable scanning.

v4.ecosystem.research.article6.time

基于多传感器数据融合的SLAM方法探讨

We present a cost-friendly vehicle research platform and a robust implementation of SLAM. Our SLAM algorithm fuses visual stereo image and 2D light detection and ranging (Lidar) data and uses loop closure for accurate odometry estimation.

v4.ecosystem.research.article5.time

基于多传感器融合的自动驾驶大坝监控机器人系统

In this paper, an autonomous system design is proposed for dam ground surveillance robots, which includes general solution, electromechanical layout, sensors scheme, and navigation method.

v4.ecosystem.research.article4.time

轻型无人机载LiDAR的现状与展望

This paper reviews the current status of the light and miniature UAV-borne LiDAR in China and other contries, then typical applications in related fields are listed. Finally, some future perspectives are presented.

v4.ecosystem.research.article3.time

低成本车载激光雷达系统的初步研究

This investigation focuses on the performance assessment of a low-cost automotive LIDAR, the Livox Mid-40 series. The work aims to examine the qualities of the sensor in terms of ranging, repeatability and accuracy.

v4.ecosystem.research.article2.time

利用 Livox 做里程计估计与建图

In this paper, we present a robust, real-time LOAM algorithm for LiDARs with small FoV and irregular samplings. By taking effort on both front-end and back-end, we address several fundamental challenges arising from such LiDARs, and achieve better performance in both precision and efficiency compared to existing baselines.

v4.ecosystem.research.article1.time

使用条款隐私权条款售后条款

This site uses cookies. By continuing to use this site you agree to our use of cookies in accordance with our Cookie Policy.