What is Autonomous Vehicle Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Attributes
- FAQ
What Is Autonomous Vehicle Data?
Autonomous vehicle (AV) data refers to the massive volumes of multimodal information collected from sensors mounted on self-driving cars. This includes perception data (e.g. LiDAR, radar, cameras), localization inputs (e.g. GPS, IMU), and decision-making outputs from onboard AI models.
Such data is essential for training autonomous systems to perceive, localize, plan, and control in dynamic driving environments. AV data can be real-world or synthetic (simulated), and is often annotated to support machine learning use.
AV datasets are typically accessed via cloud storage or API endpoints and are delivered in formats such as ROS bags, CSVs, JSON, PCAP, and point cloud files.
What Are Examples of Autonomous Vehicle Data?
Autonomous vehicle datasets often include:
- LiDAR point cloud data
- Radar detections and range data
- HD camera footage with timestamps
- Object annotations (cars, pedestrians, cyclists)
- Lane markings and road boundaries
- GPS/IMU-based vehicle positioning
- Driving trajectories and speed profiles
- Sensor fusion outputs
Best Autonomous Vehicle Databases & Datasets
Here is our curated selection of top Autonomous Vehicle Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Real-Time API to Vehicle Telemetry Data | Global Coverage
The Data Appeal Company | Automotive Data | Electric Vehicle Charging Stations Data | 251M POI Mapped | Datasets | Coverage from 2019
HD Map and AV Simulation Services for Autonomous drive
Automotive Data | Commercial Vehicle Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Product Development
Company Data | European Automotive Sector | Comprehensive Profiles & Firmographic Insights | Best Price Guaranteed
IRIS® by Dataforce - International Vehicle Registration Information System for Automotive Market in Europe
Cell tower Data |Mobile Network celltower and Enode-B locations | Europe and North America
TRAK Data - Full US Consumer Automotive Data - Reach Vehicle Owners, In-Market Auto Shoppers, Target by Make, Model, Year, New, Used, Geography
Vehicle Telematics Data for Usage Based Insurance | Real Time API from Drivers
Automotive Data | Commercial Vehicle Data | Car Specs, Equip & Price (LATAM)| Updated Monthly | Product Development
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Main Attributes of Autonomous Vehicle Data
Autonomous driving datasets usually include:
- Sensor type (LiDAR, radar, camera)
- Timestamped coordinates
- Object ID, type, and motion vectors
- Scene context (urban, highway, night)
- Weather and lighting conditions
- Event triggers (e.g. brake, turn signal)
- Map coordinates and route ID
- Raw sensor data and calibrated outputs
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 24 datasets | |
| String | The industry classification of a company. | View 4 datasets | |
| String | The official website of a company. | View 4 datasets | |
| Text | A description of a company. | View 3 datasets | |
| String | The domain name of a company website. Potential ID to match company records. | View 3 datasets | |
| String | The approx. number of employees working for a company. | View 3 datasets |
Frequently Asked Questions
How is the Quality of Autonomous Vehicle Data Maintained?
The quality of Autonomous Vehicle Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Autonomous Vehicle Data Updated?
The update frequency for Autonomous Vehicle Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Autonomous Vehicle Data Secure?
The security of Autonomous Vehicle Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Autonomous Vehicle Data Delivered?
Autonomous Vehicle Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Autonomous Vehicle Data.
How Much Does Autonomous Vehicle Data Cost?
The cost of Autonomous Vehicle Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Autonomous Vehicle Data for your needs.
