Velodyne HDL-64E lidar for unmanned surface vehicle obstacle detection
By R. Halterman, M. Bruch. Defense + Commercial Sensing, 2010
149 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Instrumentation, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/be646761b6302ca0a3be7b19b19cc806ac2bddc3
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In Artificial Intelligence
In Instrumentation
In Ocean Engineering
Citations in the corpus
- MEMS Mirrors for LiDAR: A Review (2020, methodology): “Furthermore, most of the motorized scanned LiDAR available on the market target geological surveys on airplanes or self-driving cars [25].”
- Review: deep learning on 3D point clouds (2020, methodology): “They equip a high-end autonomous driving sensor suite (Velodyne HDL-64E, NovAtel ProPak6, and IMU-ISA-100C) on a standard Lincoln MKZ sedan. nuScenes [81].”
- A flexible and scalable SLAM system with full 3D motion estimation (2011, unknown): “For littoral water scenarios there has been research into using expensive multi-sensor scanners [15], but to the authors’ knowledge there is no single emitter LIDAR-based SLAM approach available that was tested under real world conditions.”
- Lidar System Architectures and Circuits (2017, unknown): “Foremost among these are mechanical motion of the light source [1]; deflection of the light using a macroor micro-mechanical mirror [2]; optical-phased arrays (based on liquid crystals [3], MEMS mirrors [4], or silicon-photonic tunable phase elements [5] and wavelength tuning [6]).”