[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

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：http://111.229.117.200:8100/ (作者独立搭建)

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View

[NeurIPS 2023] Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow

[ECCV 2024] This is the official implementation of HRMapNet, maintaining and utilizing a low-cost global rasterized map to enhance online vectorized map perception.

[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

[TIP 2024] Pytorch implementation of the paper 'CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity'

Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.

QA script for Austrian address data in OSM, mirror of repo on Gitlab

YOLOv5 Object Detection with Automatic Braking System

Implement a 3D object detection system with LIDAR/Fused data as input

Reimplementation and Extension of LSS (Lift, Splat, Shoot)

The official implementation of "Progressive Query Refinement Frame for BEV semantic segmentation from surrounding images" to be presented in IROS 2024.

BEV Representation of an Autonomous car using 6 RGB cameras by making use of Stable Diffusion Transformers