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slmod

smartcar

自动驾驶系统实现

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

staticmapping

Use LiDAR to map the static world

stixel-world

An implementation of stixel computation

suma

Surfel-based Mapping for 3d Laser Range Data (SuMa)

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

supervoxel-for-3d-point-clouds

A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds

test

tiers-lidars-dataset

Multi-modal multi-lidar dataset

tracking-with-extended-kalman-filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

tsdf-plusplus

TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

ugpm

Continuous preintegration

v-loam

v-loam-1

vdo_slam

VDO-SLAM: A Visual Dynamic Object-aware SLAM System

vectornav

ROS Interface for the VectorNav IMU/GPS

velo2cam_calibration

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.

vido-slam

VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.

vins-course

VINS-Mono code without Ceres or ROS

vins-fusion

An optimization-based multi-sensor state estimator

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vins-mono-code-annotation

VINS-Mono代码注释以及公式推导

vins-mono-learning

VINS-Mono代码注释，仅供学习

vio-doc

主流VIO论文推导及代码解析

volumetric_mapping

A repository for 3D volumetric (occupancy) maps, providing a generic interface for disparity map and pointcloud insertion, and support for custom sensor error models.

voxgraph

Voxblox-based Pose graph optimization