Pedestrian trajectory prediction with Convolutional Neural Networks
Modelling the behaviour of pedestrians is essential in autonomous driving because consequences for misjudging the intentions of a pedestrian can be severe when dealing with vehicles. Therefore, for an autonomous vehicle to plan a safe and collision-free path, it is necessary not only to know the cur...
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Format: | Others |
Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278818 |