vladimir-lazic Goto Github PK
Type: User
Company: RT-RK Automotive
Bio: Software engineer in the field of Automotive Software
Location: Novi Sad
Type: User
Company: RT-RK Automotive
Bio: Software engineer in the field of Automotive Software
Location: Novi Sad
Advanced lane detection using perspective transformation
Behavioural Cloning project for the Udacity Self Driving Car Nanodegree that uses deep learning for vehicle control in simulator
Implementation of the Self Driving Car Capstone project for the Udacity Nanodegree program
Implementation of Extended Kalman Filter for Udacity Self Driving Car Nanodegree program
Implementation of particle filter for sparse localization based on map landmarks for the Udacity Self Driving Car Nanodegree. Project Kidnapped Vehicle
FIrst project for Udacity Self Driving Car Nanodegree
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
Implementation of a PID controller for vehicle steering and throttle for the Udacity Self-Driving Car Nanodegree
Traffic sign classifier implemented with LeNet neural network architecture using TensorFlow for the Udacity Self-Driving Car Nanodegree program
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.
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.
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
Implementation of Radar Target Generation And Detection project for the Udacity Sensor Fusion Nanodegree program
Unscented Kalman filter implemented for vehicle position and velocity estimation using constant turn rate and velocity process model
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