Proceedings ArticleDOI
How MuCAR won the convoy scenario at ELROB 2016
Carsten Fries,Patrick Burger,Jan Kallwies,Benjamin Naujoks,Thorsten Luettel,Hans-Joachim Wuensche +5 more
- pp 1-7
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TLDR
The hard- and software system of MuCAR, the new multi-sensor data fusion method as well as the challenging situations during the ELROB 2016 robotics trial are described aswell as the challenges faced during the competition.Abstract:
Team MuCAR participated in the convoy scenario within the ELROB 2016 robotics trial and achieved the best score overall. This paper describes the hard- and software system of MuCAR, our new multi-sensor data fusion method as well as the challenging situations during the competition. The competition took place in an unstructured environment without lane markings and with dynamic objects. Autonomous following of a specific convoy leader and detecting hazardous environments in the form of ERICard associated warning signs were the main tasks of the convoy scenario. In order to achieve high robustness, we present a module which fuses the measurement data of different sensors and tracking modules at object level. In comparison to other participants, our team was able to drive the course without any manual interventions. Additionally, we were the only team which could detect all ERICards completely autonomously.read more
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Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning
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The Greedy Dirichlet Process Filter -An Online Clustering Multi-Target Tracker
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Making the Milrem Themis UGV ready for autonomous operations
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Driving in unknown areas: From UAV images to map for autonomous vehicles
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