Official implementation of PACER, Pedestrian Animation ControllER, of CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".

Visualizer for neural network, deep learning and machine learning models

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

A curated list of robot social navigation.

Reinforcement Learning Environments for Omniverse Isaac Gym

Unified framework for robot learning built on NVIDIA Isaac Sim

A ros gazebo plugin for pedestrians （Raw depth social compliant navigation through GAIL) ICRA 2018

C++ API wrapper for displaying shapes and meshes in Rviz

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Organize the training process of the open-source code into a single Python file for better comprehension.

本项目是论文 "Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D" 代码的中文注释版。

A source code and the toolkit accompanying the paper "Quantitative Metrics for Benchmarking Human-Aware Robot Navigation"

A simulator of human navigation behaviors for Robotics based on ROS2

gazebo_sim

ROS package for leg detection with a laser scanner

ROS package of A star algorithm

YOLO ROS: Real-Time Object Detection for ROS

3D Mapping Library for Autonomous Robots (C++/ROS)

[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

[IEEE RA-L'24] Dynamic Obstacle Detection and Tracking (DODT) algorithm for Autonomous Robots (C++/ROS)

using yolox+deepsort for object-tracking

Real-time detection of diverse dynamic objects in complex environments.

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

The official repository for BEVerse

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

RTSeg: Real-time Semantic Segmentation Comparative Study

Simultaneous object detection and tracking using center points.