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eess.SP2021
Systematic Categorization of Influencing Factors on Radar-Based Perception to Facilitate Complex Real-World Data Evaluation
Maike Scholtes, Lutz Eckstein
For the assessment of machine perception for automated driving it is important to understand the influence of certain environment factors on the sensors used. Especially when inves…
eess.SP2020
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model
Bastian Lampe, Raphael van Kempen, Timo Woopen +3
Accurate environment perception is essential for automated vehicles. Since occlusions and inaccuracies regularly occur, the exchange and combination of perception data of multiple…