Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
University of British Columbia · University of British Columbia, Okanagan Campus · +3 more institutions
Abstract
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of ground transportation. It is anticipated that ordinary vehicles will one day be replaced with smart vehicles that are able to make decisions and perform driving tasks on their own. In order to achieve this objective, self-driving vehicles are equipped with sensors that are used to sense and perceive both their surroundings and the faraway environment, using further advances in communication technologies, such as 5G. In the meantime, local perception, as with human beings, will continue to be an effective means for controlling the vehicle at short range. In the other hand, extended perception allows for anticipation of…
Citation impact
- FWCI
- 22.66
- Percentile
- 100%
- References
- 198
Authors
4- JFJamil Fayyad
University of British Columbia, University of British Columbia, Okanagan Campus
- MAMohammad A. Jaradat
Jordan University of Science and Technology, American University of Sharjah
- DGDominique Gruyer
Université Gustave Eiffel
- HNHomayoun NajjaranCorresponding
University of British Columbia, University of British Columbia, Okanagan Campus
Topics & keywords
- Perception
- Computer science
- Sensor fusion
- Set (abstract data type)
- Anticipation (artificial intelligence)
- Human–computer interaction
- Range (aeronautics)
- Artificial intelligence
- Affordable and clean energy