Summary of Prospective Role Of Foundation Models in Advancing Autonomous Vehicles, by Jianhua Wu et al.
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
by Jianhua Wu, Bingzhao Gao, Jincheng Gao, Jianhao Yu, Hongqing Chu, Qiankun Yu, Xun Gong, Yi Chang, H. Eric Tseng, Hong Chen, Jie Chen
First submitted to arxiv on: 8 Dec 2023
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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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 The proposed research explores the applications of Foundation Models (FMs) in autonomous driving. Specifically, it investigates how FMs can enhance scene understanding and reasoning, contributing to improved decision-making and planning for autonomous vehicles. By pre-training on rich linguistic and visual data, FMs can interpret various elements in a driving scene and provide cognitive instructions for driving decisions. Additionally, FMs can augment data based on driving scenarios, improving the accuracy and reliability of autonomous systems. The research also discusses the potential of World Models, exemplified by the DREAMER series, which showcases the ability to comprehend physical laws and dynamics. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Autonomous cars are becoming more advanced thanks to special computer models called Foundation Models (FMs). These models can learn from a huge amount of data and help self-driving cars make better decisions. FMs can understand what’s happening in a driving scene, like recognizing objects on the road or understanding traffic rules. They can even provide instructions for actions like stopping or turning. This technology has many potential applications in autonomous driving, including improving safety by predicting rare events that might happen on the road. |
Keywords
» Artificial intelligence » Scene understanding
