Cargando…
Benchmarking of Various LiDAR Sensors for Use in Self-Driving Vehicles in Real-World Environments
In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in o...
Autores principales: | Schulte-Tigges, Joschua, Förster, Marco, Nikolovski, Gjorgji, Reke, Michael, Ferrein, Alexander, Kaszner, Daniel, Matheis, Dominik, Walter, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572247/ https://www.ncbi.nlm.nih.gov/pubmed/36236247 http://dx.doi.org/10.3390/s22197146 |
Ejemplares similares
-
LiDAR-as-Camera for End-to-End Driving
por: Tampuu, Ardi, et al.
Publicado: (2023) -
Enhancing Solid State LiDAR Mapping with a 2D Spinning LiDAR in Urban Scenario SLAM on Ground Vehicles
por: Wei, Weichen, et al.
Publicado: (2021) -
LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
por: Dai, Kai, et al.
Publicado: (2023) -
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
por: Dai, Weichen, et al.
Publicado: (2022) -
Improved LiDAR Probabilistic Localization for Autonomous Vehicles Using GNSS
por: de Miguel, Miguel Ángel, et al.
Publicado: (2020)