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
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Control Any Computer Using LLMs
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 :
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Plugin based interface program for ETS2/ATS.
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
🔥GrowSP in PyTorch (CVPR 2023)
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
How to run CARLA simulator on colab
A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".
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