Herman's repositories
minimal-mistakes
:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.
ObjectTracker
This object Tracker algorithm is a TLD(Long-term tracker) tracker base on KCF or DSST.
obstacle_detector
A ROS package for 2D obstacle detection based on laser range data.
spencer_people_tracking
Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.
fusion-ukf
An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
python_cpp_example
An example of a hybrid python/C++ package with unit tests
depth_clustering
Fast and robust clustering of point clouds generated with a Velodyne sensor.
3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
traffic-light-classifier
A simple network to classifier the states of the traffic lights.
Run_based_segmentation
An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...
velodyne_height_map
ROS obstacle detection for 3D point clouds using a height map algorithm.
ProjAEB_4thYear
Project page for Ped-AEB project, 4th year
stanford_self_driving_car_code
Stanford Code From Cars That Entered DARPA Grand Challenges
tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
ObjRecRANSAC
RANSAC variant for 3D object recognition in occluded scenes.
onroad-car-detection-tracking
This project contains a system able to detect cars using Haar Cascades and tracking it. There is also some files in classes that were made during the process of learning.