OFPNet is a baseline solution for Waymo Occupancy and Flow Prediction
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Updated
May 22, 2022 - Python
OFPNet is a baseline solution for Waymo Occupancy and Flow Prediction
Using router status page and IFTTT, set ecobee based on home occupancy
Occupancy Schedule Generator (OSG)
Occupancy grid mapping based on 2D Lidar data assuming perfect knowledge of a robot's trajectory.
A Python port of the R package unmarked, for analyzing ecological data while accounting for imperfect detection.
ROSS: Residential Occupancy Schedule Simulator
K and K Autonomous is an autonomous driving system that leverages the Deep Learning methods for depth estimation,object detection,lane segmentation and Rule-based planning. The system is designed to assist in driving by maintaining lane centering and providing driving assistance.
A collection of sensor maps collected by Google's Tango Tablet, accompanied with layout maps
This project is part of the Autonomous Systems course from Instituto Superior Técnico. The main goal of this project is to implement the Occupancy Grid Mapping algorithm and estimate, accurately, maps from different divisions using the Microsoft Kinect depth camera and the Pioneer-3DX.
[ECCV 2024] Occupancy as Set of Points
Python version of Richardson tool
Maybe the first academic open work on stereo 3D SSC method with vision-only input.
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:https://111.229.117.200:8100/ (作者独立搭建)
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
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