minho-3d-lidar-mot Goto Github PK

3d-detection-tracking-viewer

3D detection and tracking viewer (visualization) for kitti & waymo dataset

3d-multi-object-tracker

a project for 3D multi-object tracking

3d-seg-for-kitti

Velodyne LiDAR data segmentation algorithm for KITTI dataset

3d_tracker

autowarearchitectureproposal.iv

AutowareArchitectureProposal is meta repository of this repository.

centerpoint

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-q-network-breakout

This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deepfusionmot

Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".

det3d

A general 3D object detection codebse.

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

divide-and-merge-lidar-panoptic-cluster

A LiDAR point cloud cluster for panoptic segmentation

dqn-lambda

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

fastgcn-matlab

FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators

fastonlinetrack

Fast-online-tracking-with-detection-refinement

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcnnmatch

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization.

gnnpmbtracker

immortaltracker

lidar_obstacle_detector

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

lidar_rcnn

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

linear-rl

Linear Reinforcement Learning with Options (Source code for Ph.D. thesis).

lpc_mot

This is the code for the paper "Learning a Proposal Classifier for Multiple Target tracking"

mot_neural_solver

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

mp-dqn

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

pygcn

Graph Convolutional Networks in PyTorch

qdtrack

Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)

recurrent-deep-q-learning

Solving POMDP using Recurrent networks

reinforcement-learning

Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.