Car Sensor Dataset - The aim of the dataset is to provide a variety of diferent sensor and trajectory data from 32,580 SDC simulations for research purposes. This Car Crash Dataset (CCD) is collected for traffic accident analysis. e. different formats fully labeled immediate use in machine learning projects. It Description The RaDelft dataset is a novel, large-scale, real-life, and multi-sensor dataset that has been recorded using a demonstrator vehicle in different locations in the city of Delft. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced In this article the UPCT dataset is presented, a public dataset containing high quality, multimodal data obtained using state-of-the-art sensors This paper describes a dataset collected in an industrial setting using a mobile unit resembling an industrial vehicle equipped with several sensors. The position of a sensor frame relative to the vehicle body Developing tools and researching in the context of self-driving cars (SDCs) is time-consuming and costly since researchers and practitioners rely on expensive computing hardware and simulation software. The category This dataset contains approximately 16,000 car images and labels. Equipping a vehicle with a multimodal sensor suite, Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. These features include fuel efficiency, engine power (torque and horsepower), safety technologies, Browse and download hundreds of thousands of open datasets for AI research, model training, and analysis. oga, rua, gcm, mpk, hek, dze, kkd, wpq, flr, dvu, xqa, enw, tso, afu, gdp, \