20 September 2018
The models are equipped with sensor, measurement, and camera systems and can thus explore their surroundings autonomously. A multitude of technology is hidden in the small blue model vehicles: The computer scientists around Professor Dr Karsten Berns have removed the original remote control. „We have replaced it by a microcomputer that controls the motor and speed controller,“ says Berns, who heads the Robotics Research Lab at the TUK and conducts research at the Centre for Commercial Vehicle Technology (ZNT).
The roof is equipped with a special camera that detects structures in the surrounding area. Another camera is located in the driver‘s cab. “The two camera systems provide the minicomputer with colour samples and 3D images,” continues Berns. “With this data, it assembles an image of the surroundings and identifies the direction the vehicle must take.” Further sensor and measuring systems are necessary so that the models can drive autonomously: On both sides they are equipped with infrared sensors and on the front and back side with ultrasonic sensors.
“This makes it possible, for example, to measure the distance to a possible obstacle such as a wall,” says doctoral student Steffen Hemer. In addition, the vehicles are equipped with speed and acceleration sensors. The computer scientists have equipped four of these models with their technology.
Berns and his team are researching the next generation of commercial vehicles on the TUK campus – from drum rollers that drive autonomously in the convoy and compact a new road surface, to cranes that unload their loads themselves while “keeping a very close eye” on their surroundings, to excavators that independently load trucks with sand.
But before the vehicles are tested on roads, fields, forests, and meadows, the computer scientists check their sensor, measurement, and camera systems used in their techniques in simulations and with the help of models. The Kaiserslautern computer scientists develop their autonomous vehicles in such a way that they should be able to decide for themselves which route they take, i.e. to decide, for example, to avoid an obstacle or to drive over it if it is a larger stone or a small branch on the forest floor.
https://www.uni-kl.de/en/research/foi/research-units/znt/
https://www.iaa.de/
IAA 2018: Scientists present smart vehicle models
Before autonomous vehicles are tested on the road or off-road, researchers usually first check their systems in the laboratory. In Hall Hall 13, Stand A28, Kaiserslautern scientists present small models of an all-terrain commercial vehicle at this year’s IAA Commercial Vehicles.
 Photo: TUK/KozielSteffen Hemer (left) and Professor Berns are researching the next generation of commercial vehicles. |
The roof is equipped with a special camera that detects structures in the surrounding area. Another camera is located in the driver‘s cab. “The two camera systems provide the minicomputer with colour samples and 3D images,” continues Berns. “With this data, it assembles an image of the surroundings and identifies the direction the vehicle must take.” Further sensor and measuring systems are necessary so that the models can drive autonomously: On both sides they are equipped with infrared sensors and on the front and back side with ultrasonic sensors.
“This makes it possible, for example, to measure the distance to a possible obstacle such as a wall,” says doctoral student Steffen Hemer. In addition, the vehicles are equipped with speed and acceleration sensors. The computer scientists have equipped four of these models with their technology.
Berns and his team are researching the next generation of commercial vehicles on the TUK campus – from drum rollers that drive autonomously in the convoy and compact a new road surface, to cranes that unload their loads themselves while “keeping a very close eye” on their surroundings, to excavators that independently load trucks with sand.
But before the vehicles are tested on roads, fields, forests, and meadows, the computer scientists check their sensor, measurement, and camera systems used in their techniques in simulations and with the help of models. The Kaiserslautern computer scientists develop their autonomous vehicles in such a way that they should be able to decide for themselves which route they take, i.e. to decide, for example, to avoid an obstacle or to drive over it if it is a larger stone or a small branch on the forest floor.
https://www.uni-kl.de/en/research/foi/research-units/znt/
https://www.iaa.de/
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