Stars
Collect some World Models for Autonomous Driving papers.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
awesome-autonomous-driving
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
This repo includes ChatGPT prompt curation to use ChatGPT better.
[CVPR 2022 Oral] Official implementation of DN-DETR
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Some Python Implementations of the Kalman Filter
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
多假设目标跟踪/面向假设的多假设目标跟踪/HypothesisOriented Multi-Hypothesis Target Tracking / MHT/ HOMHT
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
An EKF filter based Interacting Multiple Model applied in 2D object maneuver modeling.
CubeSLAM: Monocular 3D Object Detection and SLAM
Resources for Multiple Object Tracking (MOT)
pprp / deep_sort_yolov3_pytorch
Forked from ultralytics/yolov3Replication of MOT project - DeepSort with attention blocks.
Real-time multi-person tracker using YOLO v3 and deep sort
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
Projects and application using computer vision and machine learning
A curated list of awesome computer vision resources
🎨 Example-based texture synthesis written in Rust 🦀
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
📚 A collection of edge/contour/boundary detection papers and toolbox.