Abstract This paper presents an approach that utilizes artificial intelligence techniques to identify autonomous machine behavior patterns. The context for investigation involves a fleet of prototype autonomous haulers as part of a Product Service System solution under development in the construction and mining industry. The approach involves using deep learning-based object detection and computer vision […]
Read MoreA Value-Driven Design approach for the virtual verification and validation of autonomous vehicle solutions
- 4th July 2023
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Abstract Autonomous vehicle solutions (AVS) are regarded as a major enabling technology to support the realization of ‘total site solutions’ in the construction equipment industry. Their full-scale deployment is hindered today by the need to test autonomous driving capabilities against the varying conditions an AVS is expected to be exposed to during its lifetime. Therefore, […]
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