kkhao

kkhao's Stars

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.5k23719598

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k57228243

• ucla-mobility/OpenCDA

  A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

  Language:Python1k3062199

• open-mmlab/mmflow

  OpenMMLab optical flow toolbox and benchmark

  Language:Python963772116

• dwofk/fast-depth

  ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

  Language:Python9303369188

• metadriverse/metadrive

  MetaDrive: Open-source driving simulator

  Language:Python77816356110

• HCPLab-SYSU/Embodied_AI_Paper_List

  [Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

  72110545

• haofeixu/gmflow

  [CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

  Language:Python641174253

• hzwer/Awesome-Optical-Flow

  This is a list of awesome paper about optical flow and related work.

  46819232

• silvery107/rl-mpc-locomotion

  Deep RL for MPC control of Quadruped Robot Locomotion

  Language:Python40241944

• michigan-traffic-lab/Dense-Deep-Reinforcement-Learning

  This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"

  Language:Jupyter Notebook3174750

• NVlabs/trajdata

  A unified interface to many trajectory forecasting datasets.

  Language:Python315143439

• ltkong218/FastFlowNet

  FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)

  Language:Python25992442

• USC-GVL/Agent-Driver

  A Language Agent for Autonomous Driving

  Language:Python23113109

• jchengai/planTF

  [ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving

  Language:Python20233114

• NVlabs/traffic-behavior-simulation

  Language:Python173121026

• OpenDriveLab/ELM

  [ECCV 2024] Embodied Understanding of Driving Scenarios

  Language:Python143101812

• neu-vi/ezflow

  A modular PyTorch library for optical flow estimation using neural networks

  Language:Python1326548

• jlubars/RL-MPC-LaneMerging

  Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

  Language:Python10711020

• trust-ai/SafeBench

  A Benchmark for Evaluating Autonomous Vehicles in Safety-critical Scenarios

  Language:Python10011621

• megvii-research/RealFlow

  The official implementation of the ECCV 2022 Oral paper: RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos

  Language:Python9452211

• tsinghua-fib-lab/LCSim

  LCSim: A Large-Scale Controllable Traffic Simulator

  Language:Jupyter Notebook57165

• zhejz/TrafficBots

  TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5

  Language:Python55448

• michigan-traffic-lab/Learning-Naturalistic-Driving-Environment

  This repo contains the code for paper "Learning naturalistic driving environment with statistical realism"

  Language:Python45229

• d5rlbenchmark/d5rl

  Language:Python19202

• IntelLabs/csg

  IV 2020 "CSG: Critical Scenario Generation from Real Traffic Accidents"

  Language:Python18365

• gustavomoers/CollisionAvoidance-Carla-DRL-MPC

  A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.

  Language:Python16210

• FangjianLi/Safe_imitation_learning

  Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning (S-AIRL) for Highway Autonomous Driving"

  Language:Python15201

• Kun-k/Re_2_H2O

  Official codes for paper: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning

  Language:Python15101

• Leviathan321/reflection_study

  NSGAII-DT replication study results from "Reflections on Surrogate-Assisted Search-Based Testing: A Taxonomy and Two Replication Studies based on Industrial ADAS and Simulink Models"

  Language:Python2001