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lm-riscv-dv

An Open-Source Design and Verification Environment for RISC-V

lm32-soft-processor

LatticeMico32 soft processor

lm32_fpu

A system verilog floating point unit for the Latice Micro soft processor (LM32)

lmic

lmicp

hand write Levenberg-Marquardt ICP

lmono

An Online SLAM System based on LiDAR-Monocular Camera Sensor Fusion.

lms-rtl-sdr

Support LimeSuite devices under the rtl-sdr API

lms6002d-docs

Documentation for the Lime Microsystems Field Programmable RF (FPRF) Transceiver IC

lms7002m-docs

Documentation for the Lime Microsystems second generation transceiver IC

lms7002m-driver

A portable driver for the LMS7002M dual transceiver

lms8suite

Utilities for use with hardware based upon LMS8001 chips from Lime Microsystems.

lms_beamforming

lmsf-slam

lna

lna1109

LNA with SAW filter

lna3030

loa-stm32-fpga

STM32 + FPGA

loady_kicad_libs

Collection of symbols and footprints for KiCAD

loam-loop-closure

this is back end slam frame work for loam loop closure

loam_back_and_forth

loam SLAM with back and forth tilted scanning 2D laser, modified to work under ROS indigo and catkin

loam_continuous

Laser Odometry and Mapping (continuous spin version)

loam_continuous-1

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_livox-slam

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

loam_velodyne

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

local-feature-evaluation

Comparative Evaluation of Hand-Crafted and Learned Local Features

local-planning-benchmark

A unified benchmark for the evaluation of mobile robot local planning approaches (ICRA 2021)

localization_in_auto_driving

localization_mapping

ROS nodes for outdoor SLAM on a ground robot

localization_robot_infantry

sensors: Consumer GPS, 16 line lidar, Consumer IMU, wheel Odometry

localization_system

A ROS-based localization system for self driving cars that use data from GNSS, IMU, and wheel speed sensor to estimate the car's position using Unscented Kalman Filter.