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AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Offline_MOT

Multiple traffic entities detection and tracking from bird-view drone stationary videos https://engyasin.github.io/Offline_MOT/

VisDrone-Dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

DroneVehicle

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

MotionPathsExtraction

Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)

ST-MR

Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction

UCF-SST-CitySim1-Dataset

Official github page of UCF SST CitySim Dataset

cvpr_dNRI

Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020

Lanelet2

Map handling framework for automated driving

AC-VRNN

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

drone-dataset-tools

The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.

Human-Trajectory-Prediction-via-Neural-Social-Physics

Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics

disentanglement-pytorch

Disentanglement library for PyTorch

scarches

Reference mapping for single-cell genomics

cvaecaposr

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.

TransformerCVAE

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

HDGT

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction

waymo-motion-prediction-challenge-2022-multipath-plus-plus

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

vehicle_trajectory_prediction_combined_with_behavior_recognition

A vehicle trajectory prediction combined with vehicle behavior recognition,and propose an acceleration trajectory optimization algorithm.

Awesome-Traffic-Agent-Trajectory-Prediction

This is a list of papers related to traffic agent trajectory prediction.

data-preprocessing-for-traj-pred

Data preprocessing for the trajnet dataset for pedestrian trajectory prediction

LSTM_trajectory-prediction

时空数据的轨迹预测

VesselTrajectoryPrediction

lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.

Trajectory_Prediction

utilize LSTM and information from digital map to predict the trajectory of vehicles at an intersection

KalmanBaseline

Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

highD-dataset

aiimooc_lesson

睿慕课三维点云处理课程作业代码

kalman_filter_for_localization_using_python

Kalman filters are really good at taking noisy sensor data and smoothing out the data to make more accurate predictions. For autonomous vehicles, Kalman filters can be used in object tracking. A Kalman filter does this by weighing the uncertainty in your belief about the location versus the uncertainty in the lidar or radar measurement. If your belief is very uncertain, the Kalman filter gives more weight to the sensor. If the sensor measurement has more uncertainty, your belief about the location gets more weight than the sensor measurement.

stage-vehicule-autonome

Documentation de stage à l'INSA Toulouse : Détection et prédiction d'obstacles avec caméra et lidar.