Discover Vladimir-Lazic/SFND_Lidar_Obstacle

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Language
C++
Created over 3 years ago
Updated over 3 years ago

Vladimir-Lazic

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Lidar point cloud processing project. This project performs processing of Lidar point cloud information to determine obstacles. This is done by performing segmentation to determine which points belong to the same 3d plane and clustering to determine which points represent an obstacle on the road

SFND_3D_Object_Tracking

Sensor fusion module for 3D Object Tracking. The project uses a combination of Lidar and Camera data for making an estimation of the distance for the preceding vehicle.

C++

CarND-Path-Planning-Project

Implementation of highway driving using localization and sensor fusion. The code implements behavioral planning in a form of a state machine for lane changes and velocity adjustment

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SFND_Radar_Target_Generation_And_Detection

Implementation of Radar Target Generation And Detection project for the Udacity Sensor Fusion Nanodegree program

MATLAB

SFND_2D_Feature_Tracking

2D Feature Tracking project using OpenCV detectors and descriptors for keypoint tracking in multiple frames. The project uses a variety of detectors and descriptors and performs analysis of the best possible combination with regards to processing time and detection precision.

C++