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blog

2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

2020aicity_code_from_top_teams

The code from the top teams in the 2020 AI City Challenge

3d-detection-tracking-viewer

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

ai-city-anomaly-detection

Source code and code description of Team12 for NVIDIA AICity Challenge 2019 track 3

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

asv_perception

Perception for marine surface vehicles

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

br24radar_pi

OpenCPN radar plugin for Navico Broadband Radars (BR24, 3G, 4G models) [HISTORIC]

car-behavioral-cloning

Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras

core-moos

A very light weight, easy to use middleware. You will need core-moos above all other components

cv-detect-robot

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

dr_pi

Add DR positions to a route (saved as a GPX file)

enc_mission_planner

QT mission planner using ENCs

gavlab-ros-pkg

ROS stacks and packages for the GAVLAB

irealsense

Application for interfacing a realsense camera (D-series 435 tested) to MOOS.

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

ladonmoos

This is the root of the build tree for all Project Ladon MOOS modules

lidar-processing

Basic LiDAR Processing Pipeline Consisting of Ground Segmentation, Clustering and Polygonization

lidarobstacledetect

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

lotterypredict

TensorFlow实战，使用LSTM预测彩票

lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

mlep

moos-ivp-cc

MOOS-IvP extensions for VoIP Integration, Websocket Forwarder, and MIT class 2.680 labs