Summary of Enhanced Cooperative Perception For Autonomous Vehicles Using Imperfect Communication, by Ahmad Sarlak et al.
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
by Ahmad Sarlak, Hazim Alzorgan, Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Rahul Amin
First submitted to arxiv on: 10 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to cooperative perception in autonomous vehicles, enhancing their visual perception quality under challenging conditions like haze, low illumination, winding roads, and crowded traffic. The method optimizes camera feed sharing among vehicles, recruiting the best helper from available front vehicles to augment the ego vehicle’s visual range and improve object detection accuracy. In two steps, it first selects the most helpful vehicles based on their visual range and motion blur, then optimizes radio block transmission for efficient communication. The authors test their approach using a CARLA simulator dataset, demonstrating improved pedestrian detection performance in challenging scenarios. This approach could significantly enhance driving safety under adverse conditions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make self-driving cars safer by letting them work together to share information from cameras and sensors. Right now, these cars can get confused if the weather is bad or there are a lot of other cars on the road. To fix this, the authors came up with a new way for cars to work together to improve their vision. They pick the best car to help out based on how well it can see and then make sure they all communicate efficiently. This helps them detect things like pedestrians better in bad weather or heavy traffic. |
Keywords
* Artificial intelligence * Object detection
