s-wang's starred repositories
MonoLaneMapping
Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)
colmap-gps
🌟 COLMAP + GPS Prior
colmap-fusion-gps
colmap fusion gps ,reduce drift !
SfMNeXt-Impl
[AAAI 2024] Official implementation of "SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation", and more.
DetectorFreeSfM
Code for "Detector-Free Structure from Motion", CVPR 2024
TemporallyConsistentDepth
Code for our CVPR 2023 paper on online, temporally consistent depth estimation.
monodepth_benchmark
Code for "Deconstructing Monocular Depth Reconstruction: The Design Decisions that Matter" (https://arxiv.org/abs/2208.01489)
pixel-perfect-sfm
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
slowtv_monodepth
Official repository for the ICCV2023 paper "Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV"
kinodynamic_frontend
kinodynamic RRT* & A*
path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
PythonRobotics
Python sample codes for robotics algorithms.
path_optimizer
Optimization-based real-time path planning for vehicles.
path_planning
This repository contains path planning algorithms in C++ for a grid based search.
PathPlanning
Common used path planning algorithms with animations.
DualRefine
This repository contains the code for the paper "DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium", a self-supervised depth and pose estimation model. It refines depth and pose estimates by computing matching costs based on epipolar geometry and deep equilibrium model.
OpenLane-V2
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)