Vision-Centric BEV Perception: A Survey
-
Updated
Sep 3, 2023
Vision-Centric BEV Perception: A Survey
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
[T-PAMI] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
[TMLR'24] On the Adversarial Robustness of Camera-based 3D Object Detection
Stitching and fusion of 4 pairs of on-board surround view fisheye image sequences, odometer estimation and output of large pixel maps.
Several tools for visualizing 3D perception result
Bird-eye view map construction for a mobile robot based on RGB and point cloud input
Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient
Distortion correction of single image without checkerboard calibration.
This ML project helps ensures 6 feet distance between pedestrians.
Notes and key takeaways of the Self-Driving Cars Perception applied Deep Learning Free Course from freeCodeCamp.org
Get undistorted bird eye view images in real time
A classicial computer vision based approach to transform images from multi-camera sensors to a single Bird's Eye View image.
AI Tool for Social Distancing - Master's University Project
Projection of 3D Camera Points onto the 2D images of each camera and finally create a Bird's Eye View (BEV) representation by combining the projected points from all cameras onto a single 2D grid. The BEV provides a top-down view of the scene, which is crucial for tasks like object detection, tracking, and path planning in autonomous driving.
During the COVID-19 pandemic it is necessary, to prevent contagion, to keep a safe distance from other individuals, in particular in public places. This project was created to provide a tool that, through Neural Networks and Artificial Vision, exploits images collected by surveillance video systems, producing useful information for respecting in…
Add a description, image, and links to the bird-eye-view topic page so that developers can more easily learn about it.
To associate your repository with the bird-eye-view topic, visit your repo's landing page and select "manage topics."