ad-behavior-modeling
OfficialAnalyze behavior modeling for autonomous driving, predict vehicle and agent movements.
Software Engineering#autonomous driving#trajectory prediction#behavior modeling#interaction modeling#game-theoretic planning
AuthorRoboSafe-Lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides an analysis of behavior modeling in autonomous driving, including methods for trajectory prediction, interaction modeling, and game-theoretic planning, to assist in research and development of safe autonomous vehicles.
Core Features & Use Cases
- Trajectory Prediction: Methods for predicting vehicle and agent movements in driving scenarios.
- Interaction Modeling: Approaches for modeling interactions between vehicles, pedestrians, and other agents.
- Game-Theoretic Planning: Strategies for planning optimal behavior in multi-agent driving scenarios.
- Use Case: Utilize the Skill to understand the behavior of a self-driving car in various driving scenarios, predicting interactions and outcomes based on historical data and simulation.
Quick Start
Use the ad-behavior-modeling skill to predict the trajectory of a vehicle in the next 10 seconds based on its historical data.
Dependency Matrix
Required Modules
tensorflowkerastransformers
Components
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: ad-behavior-modeling Download link: https://github.com/RoboSafe-Lab/ad-safety-research-skills/archive/main.zip#ad-behavior-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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