Filter your results
- 3
- 3
- 3
- 2
- 1
- 6
- 2
- 1
- 3
- 5
- 1
- 6
- 4
- 3
- 5
- 5
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
|
|
sorted by
|
|
Détection d'obstacles par vision et LiDAR par temps de brouillard pour les véhicules autonomes18èmes journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS 2021), Centre National de la Recherche Scientifique [CNRS]; Equipe REVA, IRIT : Institut de Recherche en Informatique de Toulouse., Sep 2021, Saint Ferréol, France
Conference papers
hal-03339637v1
|
||
|
Camera and LiDAR analysis for 3D object detection in foggy weather conditions12th International Conference on Pattern Recognition Systems (ICPRS 2022), MINES Saint-Etienne (France); Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR); IEEE France SP Chapter; IEEE Chile CIS Chapter, Jun 2022, Saint-Etienne, France. pp.1-7, ⟨10.1109/ICPRS54038.2022.9854073⟩
Conference papers
hal-03820137v1
|
||
|
3D Object Detection with SLS-Fusion Network in Foggy Weather ConditionsSensors, 2021, Special Issue Advanced Computer Vision Techniques for Autonomous Driving, 21 (20), pp.6711. ⟨10.3390/s21206711⟩
Journal articles
hal-03523805v1
|
||
|
3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation StudySensors, 2023, 23 (6), pp.3223. ⟨10.3390/s23063223⟩
Journal articles
hal-04047579v1
|
||
|
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimation and 3D Object Detection11th International Conference of Pattern Recognition Systems (ICPRS 2021), Mar 2021, Online Conference, Chile. pp.150-156, ⟨10.1049/icp.2021.1442⟩
Conference papers
hal-03523807v1
|
||
|
Sensor fusion with deep neural networks for 3D object detection for autonomous vehiclesNeural and Evolutionary Computing [cs.NE]. Université Paul Sabatier - Toulouse III, 2023. English. ⟨NNT : 2023TOU30028⟩
Theses
tel-04186650v1
|