The Boxy vehicle detection dataset contains 2 million annotated cars, trucks, or other vehicles for object detection in 200,000 images for self-driving cars on freeways.
Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system Toovercome the limitation, proposed method employs particular set of procedures for the intrusion detection inUAV with Intrusion UAV dataset. The dataset ... S Miao,Q Pan,ZG Mohi-Ud-Din - 《Vehicular Communications》 被引量: ...
题目:One Million Scenes for Autonomous Driving: ONCE Dataset 名称:一百万个自动驾驶场景:ONCE 数据集 论文:arxiv.org/abs/2106.1103 主页:once-for-auto-driving.github.io ONCE OpenLane 题目:PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark 名称:PersFormer:通过 Perspec...
Camera set-ups, angles, and ranges under vehicle platform for different views of road damage detection datasets. (a) top-down view; (b) wide view; (c) street view. Full size image The present public datasets for road pavement damage detection are limited to top-down and wide view images...
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network. - sekilab/VehicleOrientationDataset
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning ECCV2016https://gdo-datasci.ucllnl.org/cowc/ 本文针对卫星图像中的车辆分析建立了一个新的数据库:Cars Overhead with Context (COWC),然后使用几个 CNN网络对该数据库进行了分析:主要是分类、检测、计数 ...
Note that you may want to pause the animation and adjust the view. The visualisation iteratively goes through all the frames, presenting the fusion of the point cloud from all vehicles transformed to the global coordinate system. It also shows the ground-truth bounding boxes for vehicles (in gr...
Artificial intelligence models play a crucial role in monitoring and maintaining railroad infrastructure by analyzing image data of foreign objects on power transmission lines. However, the availability of publicly accessible datasets for railroad foreig
Signal Processing: Image Communication 2022·Muhammad Atif Butt,Faisal Riaz· Vision-based object detection and scene understanding are becoming key features of environment perception and autonomous driving. In the past couple of years, numerous large-scale datasets for visual object detection and semantic...
in DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving Vehicle-to-Everything (V2X) network has enabled collaborative perception in autonomous driving, which is a promising solution to the fundamental defect of stand-alone intelligence including blind zones and...