Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
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Updated
Jan 5, 2024 - C++
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
L5Kit - https://woven.toyota
Control Any Computer Using LLMs.
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication. Doxygen Source Code Documentation :
A desktop app to help aid on-boarding and porting vehicles to openpilot for the masses.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Plugin based interface program for ETS2/ATS.
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Odometry & Control"
Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU
A paper list with code of lane detection.
Vanishing Point Guided Network for lane detection, with post processing
reinforcement learning based agents for self-driving in CARLA
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