Mr. Bastian Stahl Profile

Bastian Stahl

at Fraunhofer IPM

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Proceedings Article | 26 October 2022 Paper

Mobile mapping system for high-resolution imaging

P. von Olshausen, B. Stahl, S. Blattmann, A. Reiterer

Proceedings Volume 12269, 1226907 (2022) https://doi.org/10.1117/12.2635950

KEYWORDS: Cameras, Data acquisition, Imaging systems, Sensors, Panoramic photography, Visualization, Objectives, Clouds, Roads, Laser scanners

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Mobile mapping vehicles are rapidly gaining in importance as they accelerate the digitization of road surroundings. This data is indispensable for municipalities as a quantification of the state of the art as well as for planning of infrastructure projects. Fast laser scanners for 3D point cloud generation and high-resolution cameras are becoming more readily available, increasing not only data quality but also the amount of acquired raw data. Thus, taking advantage of modern computing power and developing strategies for data handling is getting crucial. In this paper, a measurement vehicle is presented that handles up to 4 GB/s of raw data. The vehicle is based on a modular system platform from the Fraunhofer Institute for Physical Measurement Techniques IPM. A Clearance Profile Scanner built by Fraunhofer IPM scans a 345° area almost perpendicular to the driving direction and delivers 3D data with 2 MHz sampling rate and millimeter precision. A high-end positioning solution provides the absolute location at any time. Two off-the-shelf panoramic cameras provide images for standard use cases. As a special feature, six 31 megapixels CMOS cameras acquire high-resolution image data from which a panoramic image can also be computed. A special network controller running custom software handles the large amount of network traffic. Additionally, a sophisticated on-board data processing pipeline was developed which performs image compression on a graphic card before the data is stored in permanent memory. Thus, all raw data can be managed and stored for driving speeds up to 144 km/h.

Proceedings Article | 26 October 2022 Paper

Mobile mapping platform with integrated end-to-end data processing chain for smart city applications

Bastian Stahl, Alexander Reiterer

Proceedings Volume 12269, 1226902 (2022) https://doi.org/10.1117/12.2633965

KEYWORDS: Sensors, Cameras, Data processing, Clouds, LIDAR, Imaging systems, 3D image processing, System integration

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We present the concept of a mobile measurement platform paired with an end-to-end data processing chain that enables analysis of multimodal sensor data in real time for smart city mapping. The proposed system can be integrated on mobile platforms into everyday traffic in urban environments. The online pre-processed and compressed information can then be used to directly update a cloud-based digital twin. This enables the creation of a virtual image of entire cities and generates data that can be used for real time Urban Information Modeling, and thus a valuable planning tool to provide up-to-date information at any time. The generated data form the basis for decision-making on improving mobility flows for smart transportation systems and autonomous vehicles and the survey of infrastructure and vegetation for sustainable urban development. The proposed concept is achieved using energy efficient embedded sensors and processing units in combination with computational optimized software architectures close to the sensors.

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