Vision-Centric BEV Perception: A Survey
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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
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
Bird-eye view map construction for a mobile robot based on RGB and point cloud input
Stitching and fusion of 4 pairs of on-board surround view fisheye simulation image sequences, odometer estimation and output of large pixel maps.
Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient
Get undistorted bird eye view images in real time
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
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.
AI Tool for Social Distancing - Master's University Project
Webapp made for monitoring people's violation of Social Distancing over video footage coming from CCTV cameras as input.
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…
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