Real-Time 3D LiDAR Point Cloud Data Acquisition & Generation on Jetson
This paper presents a novel algorithm for real-time data acquisition, processing, and visualization of 3D point cloud data generated by the VLP-32C LiDAR sensor. The proposed method efficiently captures raw UDP packets transmitted by the LiDAR, decodes the data to generate a comprehensive 360degree point cloud representation, and visualizes it in real-time on NVIDIA Jetson boards. Leveraging the computational capabilities of the Jetson platform, the algorithm ensures low-latency performance, making it suitable for applications in autonomous systems, robotics, and real-time mapping.
Authors
- Pooja Goswami (ORCID: https://orcid.org/0009-0003-5663-9209)
- Tanishq Anand
- Shrajan Jain
Institutions
- Bharat Electronics (India) (IN)
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/iccece61355.2025.10940080
- Citations
- 1
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.80