Simulation Environment for the Evaluation of LiDAR Odometry Algorithms
- This study focused on enhancing odometry estimation for self-driving cars using LiDAR-based sensor technology. The project involves integrating LiDAR sensors into the car’s sensor suite, which generates detailed 3D point clouds of the environment. This integration can be useful when gaps-based odometry estimation is not accurate enough. These point clouds are then used to accurately estimate theThis study focused on enhancing odometry estimation for self-driving cars using LiDAR-based sensor technology. The project involves integrating LiDAR sensors into the car’s sensor suite, which generates detailed 3D point clouds of the environment. This integration can be useful when gaps-based odometry estimation is not accurate enough. These point clouds are then used to accurately estimate the vehicle’s movement and position using learning-based and model-based odometry estimation methods.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/9980 | Bibliografische Angaben |
Title (English): | Simulation Environment for the Evaluation of LiDAR Odometry Algorithms |
Conference: | International Scientific Conference Electronics (33. : 17-19 September 2024 : Sozopol, Bulgaria) |
Author: | Stefan HenselStaff MemberORCiDGND, Ala Eddine Elabed, Marin B. Marinov |
Year of Publication: | 2024 |
Publisher: | IEEE |
First Page: | 1 |
Last Page: | 5 |
Parent Title (English): | 2024 XXXIII International Scientific Conference Electronics (ET) |
ISBN: | 979-8-3503-7644-9 (Elektronisch) |
ISBN: | 979-8-3503-7645-6 (Print on Demand) |
DOI: | https://doi.org/10.1109/ET63133.2024.10721546 |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) |
Collections of the Offenburg University: | Bibliografie |
Tag: | LiDAR-Odometrie | Formale Angaben |
Relevance for "Jahresbericht über Forschungsleistungen": | Konferenzbeitrag: h5-Index < 30 |
Open Access: | Closed |
Licence (German): | Urheberrechtlich geschützt |