Stars
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles (C++)
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
A library for differentiable nonlinear optimization
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Python implementation of POMDP framework and PBVI & POMCP algorithms.
Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework
Code repo for the LeTS-Drive algorithgm from our paper: "Closing the Planning-Learning Loop with Application to Autonomous Driving"
Bezier Trajectory Generation for Autonomous Quadrotor, ICRA 2018
Simple 2D implement of "Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments"
Path planning for autonomous vehicles using constrained iLQR.
This repository contains path planning algorithms in C++ for a grid based search.
ROS2 navigaiton tutorials and do quadruped robot
A header only c++ package for convex decomposition using ellipsoids
A C++ implementation of Jump Point Search on both 2D and 3D maps
ROS implementation of State Lattice Planner
Optimization-based real-time path planning for vehicles.
[CVPR 2023] CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
Official GitHub Repository for Paper "Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill", ICRA 2024