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pro vyhledávání: '"Sravan Mylavarapu"'
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Autor:
Sravan Mylavarapu, Balaraman Ravindran, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Anoop M. Namboodiri
Understanding on-road vehicle behaviour from a temporal sequence of sensor data is gaining in popularity. In this paper, we propose a pipeline for understanding vehicle behaviour from a monocular image sequence or video. A monocular sequence along wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc65c7c27a57038f62ffbedcbe9d632a
Autor:
Sravan Mylavarapu, Balaraman Ravindran, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Anoop M. Namboodiri
Publikováno v:
IROS
We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based framework to model on-road vehicle behaviors from a sequence of temporally ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a multi-relational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36761d11716f88ac84cff99ed781722f