Summary of Language-driven Interactive Traffic Trajectory Generation, by Junkai Xia et al.
Language-Driven Interactive Traffic Trajectory Generation
by Junkai Xia, Chenxin Xu, Qingyao Xu, Chen Xie, Yanfeng Wang, Siheng Chen
First submitted to arxiv on: 24 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: 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 InteractTraj method generates realistic and interactive traffic trajectories that can be controlled by natural language commands, advancing autonomous vehicle technology. This novel approach interprets abstract trajectory descriptions into concrete numerical codes and learns a mapping between these codes and the final interactive trajectories. The method consists of a language-to-code encoder with an interaction-aware encoding strategy and a code-to-trajectory decoder with interaction-aware feature aggregation that considers vehicle interactions and environmental maps. Experimental results demonstrate superior performance over previous state-of-the-art methods, offering controllable generation of realistic traffic scenarios via diverse natural language commands. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary For advancing autonomous vehicle technology, creating realistic traffic trajectories controlled by natural language is crucial. This paper presents InteractTraj, a method that can generate interactive traffic trajectories based on descriptions. It works by first turning language into numerical codes and then using these codes to create the final traffic trajectory. The approach includes two main parts: one for understanding language and another for generating the trajectory. Testing shows this method performs better than others and can create realistic traffic scenarios with different natural language commands. |
Keywords
» Artificial intelligence » Decoder » Encoder
