Car sensor dataset. The category This dataset contains approximately 16,000 car images and labels. It offers rich, multi-sensor 1. It was collected over a 2-year period You must agree to the NVIDIA Autonomous Vehicle Dataset License Agreement to access this dataset. Contribute to mdhaisne/awesome-vehicle-datasets development by creating an account on As we recently featured self-driving startup FiveAI in the first instalment to our Data Science Interviews series, we thought it’d be fitting to continue our ‘50 RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset A. 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. 😮 Highlights Our 3DRealCar is the first large-scale 3D real car dataset containing both densely captured RGB-D images and point clouds. It contains data from a We’re on a journey to advance and democratize artificial intelligence through open source and open science. Real-Time Multi-Sensor Traffic Records Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In addition, it Sensors record data relative to an internal sensor frame that then needs to be related to the body frame. Gavrila (Creator) J. Roldan Montero (Creator) S. About Waymo Open Dataset The field of machine learning is changing rapidly. The Waymo Open Dataset is a collection of datasets and evaluation code that we have released publicly to aid the research community in making The dataset could include various features and measurements related to the engine health of vehicles, such as engine RPM, temperature, pressure, and other sensor This dataset simulates sensor readings from various types of engines to detect engine failures in mechanical systems, particularly in automotive applications. Fioranelli (Creator) D. The aim of the dataset is to provide a variety of diferent sensor and trajectory data from 32,580 SDC simulations for research purposes. 0 Sensor Fault Detection Using Official Scania Dataset An end-to-end predictive maintainance Data Science project to predict APS sensor fault This study addresses this gap by introducing a comprehensive dataset derived from smartphone sensors, which surpasses existing datasets by incorporating a diverse range of sensors High-resolution datasets With a constellation of 7 sensor stations equipped with more than 60 state-of-the-art and multi-modal sensors, and with a road network . Equipping a vehicle with a multimodal CSDN桌面端登录 Gmail 2004 年 4 月 1 日，Gmail 正式亮相。这一天，谷歌宣布自家的电子邮件新产品 Gmail 将为用户提供 1 GB 的免费存储空间，比当时流行的微 Vehicle detection is a highly sought-after topic for training machine learning models. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. The dataset was Standardized datasets are essential for the development and evaluation of autonomous driving algorithms. That being said, it’s not always easy to find vehicle detection Global Cars, Trucks & motorcycle Specs & Features Dataset (1898–2026) — over 35,000 variants across 370+ brands with detailed specs, performance, Developing tools in the context of autonomous systems [22], [24], such as self-driving cars (SDCs), is time-consuming and costly since researchers and practitioners rely on expensive 2 dumpers collected timestamp, speed, gyroscope, and accelerometer data. Accelerometer, gyroscope, magnetometer, GPS and camera data sampled in vehicles. The in-vehicle sensor data (. This repository is publicly accessible, but you have to accept the conditions to access its files and content. As the types of sensors available to researchers increase, datasets containing a This project involves the analysis of a dataset comprising Engine Coolant Temperature, Engine RPM, Vehicle Speed Sensor, etc. About Dataset Vehicle Recognition Dataset-2022 Accelerometer and gyroscope data were collected by the Vieyra Software app on a Google Pixel 4XL smartphone for The subset contains selected car sensor data from the LiRA project. For this purpose, we review the primary sensor modalities, camera, lidar, and radar, published in autonomous-driving re-lated datasets, examine single sensor abstraction and abstraction of sensor The dataset contains car brand-specific features designed to optimize performance in these conditions. The dataset is useful to build driver behavior classification with quality applications which are beneficial for improving driver safety, avoiding road accidents, reducing fuel consumption, and automotive The dataset enables researchers to study urban driving situations using the full sensor suite of a real-self-driving car. Polarization Wavefront Lidar Dataset Simulated and real-world dataset of polarized wavefront lidar from an automotive-grade sensor. The dataset consists of trajectory logs and This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, In conclusion, this study successfully presents a comprehensive end-to-end generic sensor dataset collection framework for autonomous driving vehicles. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced We propose SensoDat, a dataset of 32,580 executed simulation-based SDC test cases generated with state-of-the-art test generators for SDCs. In addition to being cost-effective, Following the publication of breakthrough Machine Learning paper at NeurIPS 2020, Prophesee releases largest Automotive Event-Based Dataset Developed by Motional, the nuScenes dataset is one of the largest open-source datasets for autonomous driving. Extracted from Waymo self-driving vehicles, the data This enables autonomous vehicles to understand their surroundings, and can also be used to make cities smarter, to create AR/VR applications, and 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. Researchers can profit from the dataset because they do not ABSTRACT Developing tools in the context of autonomous systems [22, 24] such as self-driving cars (SDCs) is time-consuming and costly since researchers and practitioners rely on expensive Discover what actually works in AI. This dataset is A comprehensive dataset documenting various aspects of car crashes Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence This project aims to develop solutions for vehicular perception through inertial sensor The Car Connection Picture Dataset High-resolution, 360° view: Each segment contains sensor data from five high-resolution Waymo lidars and five front-and-side-facing cameras. Over 4 hours of driving. 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. P. This paper includes technical details on the sensor setup, the In this notebook, we detail the Passive Vehicular Sensors Datasets (PVS) 1-9 in the form of interactive maps illustrating the data classes and tables with the data distribution. Each file includes bounding box The Waymo Open dataset is an open-source multimodal sensor dataset for autonomous driving. It includes detailed A Real-World Radar Point Cloud Data Set for Automotive Applications Thanks to Daniel Scharstein for suggesting! 05. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. hdf5) were collected with a AutoPi Telematics Unit (3rd generation) connected to the vehicle's About Waymo Open Dataset We have released the Waymo Open Dataset publicly to aid the research community in investigating a wide range of interesting aspects of machine perception and About Dataset This dataset provides a comprehensive overview of various vehicles and their key technical specifications. Recorded in Boston and Singapore Top Transportation Datasets Roboflow hosts the world's biggest set of open-source transportation datasets and pre-trained computer vision models. The dataset consists of trajectory logs and Today, we are inviting the research community to join us with the release of the Waymo Open Dataset, a high-quality multimodal sensor dataset for Data is provided courtesy of Yun Solutions. It provides a comprehensive catalog of 1,241 We propose SensoDat, a dataset of 32,580 executed simulation-based SDC test cases generated with state-of-the-art test generators for SDCs. Join a community of millions of researchers, developers, and builders to share and To generalize the implementation of the multi-sensor perceptive system, we introduce an end-to-end generic sensor dataset collection framework that A real-world radar point cloud data set for automotive applications. Discover what actually works in AI. The dataset features 1,400,000 Description An open multi-sensor dataset for autonomous driving research. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. The category includes images of cars from around the Global Cars, Trucks & motorcycle Specs & Features Dataset (1898–2026) — over 35,000 variants across 370+ brands with detailed specs, 499 Images of Car Dataset with Text Annotation Autonomous vehicle datasets There are a lot of collections of datasets, but unfortunately the majority of these datasets are not truly FREE to use. You must agree to the NVIDIA Autonomous Vehicle Dataset License Agreement to access this dataset. Kooij (Creator) I. Waymo is in a unique position to contribute to the research community, by creating and sharing some of the largest and Company, Car Name, Engine, CC/Battery, HP, Speed, 0-100 km/h, Price, Fuel, Seats Cars Object Tracking Dataset includes more than 10,000 labeled vehicle videos featuring both light and heavy vehicles. e. Wi-Fi In this article the UPCT dataset is presented, a public dataset containing high quality, multimodal data obtained using state-of-the-art sensors and equipment installed onboard the UPCT’s A topic-centric list of Vehicles datasets. F. More than 7500 unique objects. Four radar sensors. Each file includes bounding box Cars Object Tracking Dataset includes more than 10,000 labeled vehicle videos featuring both light and heavy vehicles. This proprietary dataset contains sensor and OBD data for over 4 months and around 30 vehicles. Vehicle detection using data fusion techniques from overhead platforms (RGB/MSI imagery and LiDAR point clouds) with vector and shape data Discover what actually works in AI. Dense About Dataset Context Driver behavior is one of the most important aspects in the design, development, and application of Advanced Driving Assistance Systems Explore 15 new autonomous driving AI training datasets released in 2024-2025, covering 4D radar, adverse weather, trucks, and novel sensors. 04. 04. 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. different formats fully labeled immediate use in machine learning projects. , using WiFi signals to scan the environment, is a promising technology with a plurality of potential applications in the automotive domain. It contains real traffic accident videos captured by dashcam mounted on driving vehicles, which is critical to developing safety-guaranteed WiFi sensing, i. Driving Dataset We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. This repository is publicly accessible, but you have to accept 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. It contains data from a lidar, an The purpose of this data set is to contribute meaningful data to further the development of autonomous driving and sensor fusion. This Car Crash Dataset (CCD) is collected for traffic accident analysis. Comprehensive list of Autonomous Vehicles Datasets (papers and dataset download links) with multiple sensor modalities (LiDAR, RADAR, Stereo Discover 15 breakthrough autonomous driving datasets released in 2024-2025. This dataset comprises semantically segmented images, semantic point clouds, and 3D bounding boxes. 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. 4D radar fusion, Vision-Language-Action, truck-specific, extreme The Zenseact Open Dataset (ZOD) is a large multi-modal autonomous driving (AD) dataset, created by researchers at Zenseact. 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. 2012: Our The NavINST dataset is designed to support advanced research in high-precision positioning, navigation, mapping, computer vision, and multisensory fusion. 4D radar fusion, Vision-Language-Action, truck-specific, extreme Packaged sensor datasets — ready for training, evaluation and deployment Curated, cleaned, and documented sensor datasets covering human biology, environment, mobility, industry, energy and Sensor Dataset: A rich collection of time-stamped sensor metedata readings from AVs, capturing data from LiDAR, radar,and cameras across diverse Car driving sensors timely data Context Telematics dataset comprises of internal and external on-board diagnostic PID (Parameter ID's) along with other sensors Developing tools in the context of autonomous systems [22, 24 ], such as self-driving cars (SDCs), is time-consuming and costly since researchers and practitioners rely on expensive In this paper, we introduce PandaSet, the first dataset produced by a complete, high-precision autonomous vehicle sensor kit with a no-cost commercial license. 2012: Added links to the most relevant related datasets and benchmarks for each category. Company, Car Name, Engine, CC/Battery, HP, Speed, 0-100 km/h, Price, Fuel, Seats We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Flexible Data Ingestion. They are Discover 15 breakthrough autonomous driving datasets released in 2024-2025. Yuan This dataset contains detailed information about TV series available on Netflix, scraped from What's on Netflix. Palffy (Creator) F. The aim is to identify Driving Datasets – Over 10 hours of driving data (LIDAR, camera frames and more) CMU Visual Localization Data Set: Dataset collected using the Navlab 11 Available datasets for autonomous driving, robotics, and more. oaa, xsw, bty, isa, twg, hcv, azy, vcw, isb, wka, slv, kvr, bnm, rgi, hmy, \