bark-simulator/bark
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
BARK provides a simulation environment for developing and evaluating the decision-making logic of self-driving vehicles. It takes in various behavior planning algorithms and outputs their performance metrics in diverse multi-agent traffic scenarios. This tool is ideal for researchers and engineers working on autonomous driving systems, particularly those focused on behavior prediction and planning.
304 stars. No commits in the last 6 months.
Use this if you need to rapidly develop, train, and benchmark behavior planning algorithms for autonomous vehicles, especially for computationally intensive tasks like reinforcement learning.
Not ideal if you are looking for an actively maintained and developed simulation framework, as this project is no longer being updated.
Stars
304
Forks
72
Language
C++
License
MIT
Category
Last pushed
Feb 06, 2024
Commits (30d)
0
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