Library for interfacing with SICK LMS1xx lidar.

3D LiDAR point cloud visualization of Auckland New Zealand's Central Business District using LAStools

WPILibJ library for the distance sensor by Garmin

Github Repo of Socket Server used by On-Board Sensors to communicate with Raspberry Pi

These python scripts delineate watershed boundaries and areas in ArcGIS given points and a Digital Elevation Model (DEM).

C++ implementation Extended Kalman filter for LIDAR and RADAR data (4D data, distance and velocity in x any y)

C++ implementation Unscented Kalman filter for LIDAR and RADAR data (4D data, distance and velocity in x any y)

Extended Kalman Filter Project

Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.

Sensor Fusion: Unscented Kalman Filter, LiDAR&RADAR

Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.

Self-Driving Car Nanodegree: Extended Kalman Filter Project

Lidar-camera calibration for DiDi competition

GLIDAR: a simple OpenGL LIDAR simulator

Unscented Kalman Filter in C++

Sensor fusion with Extended Kalman Filters using Lidar and Radar sensors