self-driving

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://level-5.global/

UAV Simulation Platform based on PX4, ROS and Gazebo

[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 :

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

A desktop app to help aid on-boarding and porting vehicles to openpilot for the masses.

How to run CARLA simulator on colab

Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"

Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP

ROS packages for Delta Autonomy's Visualization GUI (DeltaViz)

Autonomous Drone for Object Tracking

Vanishing Point Guided Network for lane detection, with post processing

Platform for small-scale self-driving vehicles.

Ryan's contributions to the Comma.ai speed challenge

Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU

A paper list with code of lane detection.