Pinned Repositories
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
Drone-Classification_End2End
This is a deep learning project involves data preparation, training using pytorch and deploy in AWS lambda
drone-dataset
Drone dataset to guide enemy drones (with some tools)
drone_classification
drone_detector
2019 IITP project at Purdue
GMPHD_whistle_contour_tracking
This package uses Gaussian mixture probability hypothesis density filter to track narrowband frequency modulated signals
IMM-UKF-PDAF-CTwithTR_predictAhead2
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.
TTK4250-IMM-PDAF
wangzhiyanuestc's Repositories
wangzhiyanuestc/GMPHD_whistle_contour_tracking
This package uses Gaussian mixture probability hypothesis density filter to track narrowband frequency modulated signals
wangzhiyanuestc/IMM-UKF-PDAF-CTwithTR_predictAhead2
wangzhiyanuestc/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.
wangzhiyanuestc/TTK4250-IMM-PDAF
wangzhiyanuestc/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
wangzhiyanuestc/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
wangzhiyanuestc/Drone-Classification_End2End
This is a deep learning project involves data preparation, training using pytorch and deploy in AWS lambda
wangzhiyanuestc/drone-dataset
Drone dataset to guide enemy drones (with some tools)
wangzhiyanuestc/drone_classification
wangzhiyanuestc/drone_detector
2019 IITP project at Purdue
wangzhiyanuestc/gmphd
A Gaussian-Mixtures Probability Hypothesis Density (GM-PHD) filter for multitarget tracking in a bayesian framework
wangzhiyanuestc/gmphd_filter
The Gaussian Mixture Probability Hypothesis Density filter, GMPHD python implementation
wangzhiyanuestc/IMM-PDA
Python implementation of the Interacting Multiple Models Probabalistic data association filter (IMM-PDA). Tracking targets from noisy RADAR data. This filter deals with multiple motion models in the Extended Kalman filter (EKF). Tuned and tested on simulated and real datasets.
wangzhiyanuestc/multiple-object-tracking-lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
wangzhiyanuestc/Person-Detection-and-Tracking
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking