Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (1941)
- Fachbereich Elektrotechnik und Informationstechnik (1156)
- Fachbereich Wirtschaftswissenschaften (1124)
- Fachbereich Energietechnik (1068)
- Fachbereich Chemie und Biotechnologie (900)
- Fachbereich Maschinenbau und Mechatronik (818)
- Fachbereich Luft- und Raumfahrttechnik (772)
- Fachbereich Bauingenieurwesen (665)
- IfB - Institut für Bioengineering (630)
- INB - Institut für Nano- und Biotechnologien (586)
Has Fulltext
- no (9363) (remove)
Language
Document Type
- Article (5513)
- Conference Proceeding (1454)
- Book (1064)
- Part of a Book (574)
- Patent (177)
- Bachelor Thesis (170)
- Conference: Meeting Abstract (83)
- Report (83)
- Doctoral Thesis (82)
- Other (67)
Keywords
- Illustration (10)
- Nachhaltigkeit (10)
- Corporate Design (9)
- Erscheinungsbild (8)
- Gamification (8)
- Redesign (7)
- Animation (6)
- Datenschutz (6)
- Deutschland (6)
- Digitalisierung (6)
In this chapter, we report on our activities to create and maintain a fleet of autonomous load haul dump (LHD) vehicles for mining operations. The ever increasing demand for sustainable solutions and economic pressure causes innovation in the mining industry just like in any other branch. In this chapter, we present our approach to create a fleet of autonomous special purpose vehicles and to control these vehicles in mining operations. After an initial exploration of the site we deploy the fleet. Every vehicle is running an instance of our ROS 2-based architecture. The fleet is then controlled with a dedicated planning module. We also use continuous environment monitoring to implement a life-long mapping approach. In our experiments, we show that a combination of synthetic, augmented and real training data improves our classifier based on the deep learning network Yolo v5 to detect our vehicles, persons and navigation beacons. The classifier was successfully installed on the NVidia AGX-Drive platform, so that the abovementioned objects can be recognised during the dumper drive. The 3D poses of the detected beacons are assigned to lanelets and transferred to an existing map.
South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence, to knowledge representation and reasoning, and human language technologies. In this survey we take the reader through a quick tour of the research being conducted at these hubs, and touch on an initiative to maintain and extend the current level of interest in AI research in the country.
The Robot Operating System (ROS) is the current de-facto standard in robot middlewares. The steadily increasing size of the user base results in a greater demand for training as well. User groups range from students in academia to industry professionals with a broad spectrum of developers in between. To deliver high quality training and education to any of these audiences, educators need to tailor individual curricula for any such training. In this paper, we present an approach to ease compiling curricula for ROS trainings based on a taxonomy of the teaching contents. The instructor can select a set of dedicated learning units and the system will automatically compile the teaching material based on the dependencies of the units selected and a set of parameters for a particular training. We walk through an example training to illustrate our work.