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17 Gen 2025

MAN TruckScenes: the world's first freely available sensor and driving data for autonomous trucks

Transportonline
MAN_TruckSceneS

It 747 driving scenes and is freely available to developers, universities and scientific institutions.

 

MAN Truck & Bus is the first truck manufacturer to publish a 747-scene set of sensor and vehicle data from development drives for autonomous driving. The open exchange of such freely accessible and free data sets between different players, such as manufacturers, universities and software developers, who are working independently of each other on automated driving, accelerates development and promotes the standardization of data formats. It also enables a standardized comparison of results and methods as a reference for scientific studies and simplifies collaboration with external development partners. “Data sets such as MAN TruckScenes are an important resource for data-driven development. There are already numerous publicly available data sets for the passenger car sector. But not for the truck sector. With MAN TruckScenes, we are moving forward to fill this gap,” says Dr. Frederik Zohm, Executive Board Member for Research and Development at MAN Truck & Bus.

 

Development basis for autonomous hub-to-hub transportation

 

The data set now published by MAN primarily maps driving operations on German highways and associated feeder routes as well as driving operations in terminal environments. This covers the demand for so-called hub-to-hub transportation between logistics hubs, on which MAN is focusing as an application scenario for driverless driving. The sensor set consists of data from four cameras, six lidars, six radars, two inertial measurement units for determining the position in surrounding space (IMS) and high-precision global navigation satellite system (GNSS) data. MAN TruckScenes is the first data set to include 4D radar data with 360° coverage, making it the largest radar data set with an annotated 3D bounding box. When creating the 747 included scenes, attention was also paid to capturing different weather conditions. Read more

 

Source: MAN

 

 

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