Ultra precise data on on-street parking location to perfect autonomous driving

For HD maps, Self driving system, ADAS

SUBPARKS specializes in providing datasets of on-street and outdoor parking locations with centimeter-level accuracy in 2D objects, tailored for ADAS, HD mapping and autonomous driving systems. Our data helps companies optimize vehicle planning, maneuvering, and prediction, while providing all drivers, including those of non-autonomous vehicles, with a comprehensive view of parking spaces.

Unlike LiDAR-equipped vehicle collections, our surveys capture precise geoshapes with 1 - 3 cm accuracy using GNSS receivers. This approach details the exact boundaries of parking spaces and sidewalks, minimizing the risk of wheel scraping.

What we offer : On-Street / Outdoor Parking Databases

Polygon ID : location identification

Location type : row, single

Parking orientation : parallel, perpendicular, head-in angle, back-in angle

Status : Paid, Free

Specific vehicle type : Standard, Handicap, Taxi, EV, Shared loading zone

Record date : **/****

Coordinates : GPS Coordinates

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The Benefits of Our Databases

Centimeter-Level Precision :

Each GPS point we collect for parking objects has a margin of error of only 1 to 3 centimeters.

This improves autonomous vehicle guidance, ensuring safer and more precise maneuvers and parking.

The Roadway Space :

In city centers, on-street parking occupies between 20% and 40% of the roadway space.

Precise data on on-street parking spaces naturally includes information on the boundaries of the road and the sidewalk, providing a comprehensive view of the road infrastructure.

Complete Inventory of Parking Spaces :

We provide a comprehensive survey of on-street and outdoor parking spaces in targeted areas.

This thorough coverage offers a global and detailed view, facilitating urban planning, traffic flow management, and improvements in parking-related services.

Data Formats :

Our databases are provided in CSV and GeoJSON formats.

These lightweight and easily integrable formats are especially important in a context where large data volumes can slow down processing systems.

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Best application to build for automakers and fleet companies :

A real time on-street parking spot finder

The integration of our precise data with a high-performance technological system paves the way for an on-street parking spot detection solution. Subparks has designed this solution for companies with a fleet of vehicles equipped with sensors or cameras.

On-Street Parking Data

Vehicle with cameras or LiDAR sensors

Large vehicle fleet

The core of the system relies on a fleet of vehicles in circulation, each equipped with onboard sensors or cameras. These sensors capture real-time visual and location data, allowing continuous monitoring of on-street parking spots and detecting whether they are available or not.

A database to catalog each parking spot is essential. This database should include not only the exact geolocation but also comprehensive descriptions of each spot's characteristics. This information allows for assessing the eligibility of each location, considering specific criteria, to ensure reliable detection of available parking spaces.

A synergy between Subparks' databases and a high-performance technological system has the potential to revolutionize the urban parking experience, bringing tangible benefits in terms of operational efficiency and customer satisfaction.