[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
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Updated
Aug 19, 2024 - Python
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
Our insights of Openpilot, a deepdive project on it
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
End to End Learning of Self Driving Vehicle in Urban Environments using CARLA
RecyclingRush ♻️: Towards Continuous Floating Invasive Plant Removal Using Unmanned Surface Vehicles and Computer Vision, IEEE Access 2024.
This repository is designed for the development and validation of an End-to-End Controller based on deep reinforcement learning to reach a desired destination within a ROS Gazebo simulation environment.
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