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of 4
pro vyhledávání: '"Mahtab Sandhu"'
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)
ECCV Workshops (5)
We propose a novel motion segmentation formulation over spatio-temporal depth images obtained from stereo sequences that segments multiple motion models in the scene in an unsupervised manner. The motion segmentation is obtained at frame rates that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c32aedf6db86fe57f8453b9a6b0d872
https://doi.org/10.1007/978-3-030-11021-5_42
https://doi.org/10.1007/978-3-030-11021-5_42
Publikováno v:
Intelligent Vehicles Symposium
We propose a novel motion clustering formulation over spatio-temporal depth images obtained from stereo sequences that segments multiple motion models in the scene in an unsupervised manner. The motion models are obtained at frame rates that compete