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iron

IRON: A Fast Interest Point Descriptor for Robust NDT-Map Matching and Its Application to Robot Localization

isaac_sdk_20191213

jetson-reinforcement

Deep reinforcement learning libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

journalclub

iMorpheus.ai hosts weekly technical journal discussion event through webex. Here is all the papers and slides discussed.

keras-flask-deploy-webapp

:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

kimera-rpgo

Robust Pose Graph Optimization

kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

kintinuous

Real-time large scale dense visual SLAM system

lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

latte

lattice_planner

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

ldso

DSO with SIM(3) pose graph optimization and loop closure

learnviorb

leflow

Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

libviso2

video odometry library

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar_for_ad_references

A list of references on lidar point cloud processing for autonomous driving

lidar_to_camera

Projection of Lidar 3d point cloud to 2d image plane

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

lightnet

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

lightweight_mapping

limo

Lidar-Monocular Visual Odometry

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

lips

LiDAR-Inertial 3D Plane Simulator

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.