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

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

[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

Several tools for visualizing 3D perception result

Stitching and fusion of 4 pairs of on-board surround view fisheye image sequences, odometer estimation and output of large pixel maps.

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

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera and DA Detection using LiDAR using Deep Learning for Autonomous Vehicle

Distortion correction of single image without checkerboard calibration.

This ML project helps ensures 6 feet distance between pedestrians.

Get undistorted bird eye view images in real time

Notes and key takeaways of the Self-Driving Cars Perception applied Deep Learning Free Course from freeCodeCamp.org

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…