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Collaborative Perception for Automated Vehicles Leveraging Vehicle-to-Vehicle Communications
- Source :
- Intelligent Vehicles Symposium
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Currently, many automated vehicle systems primarily perceive the environment from a single perspective and as a result are unable to leverage additional scene information from the viewpoint of other vehicles on the road using vehicleto-vehicle communication technologies. We study how increased data sharing can improve the perception capabilities of automated vehicles. Our methodology shares sensor measurements and objects detected by state-of-the-art deep learning networks between vehicles to increase the automated driving systems confidence of detecting objects using a 3D sensor fusion algorithm. This approach can benefit scenarios where an object may be occluded (fully or partially) or located too far away to classify accurately by a single vehicle alone.
- Subjects :
- business.industry
Computer science
Deep learning
media_common.quotation_subject
Real-time computing
020206 networking & telecommunications
02 engineering and technology
3d sensor
Vehicle-to-vehicle
Object detection
Data sharing
Perception
0202 electrical engineering, electronic engineering, information engineering
Leverage (statistics)
Single vehicle
020201 artificial intelligence & image processing
Artificial intelligence
business
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE Intelligent Vehicles Symposium (IV)
- Accession number :
- edsair.doi...........0cde876124900a24afbffb54da718d92