Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nowruzi, Farzan"'
Multiple Object Tracking (MOT) in thermal imaging presents unique challenges due to the lack of visual features and the complexity of motion patterns. This paper introduces an innovative approach to improve MOT in the thermal domain by developing a n
Externí odkaz:
http://arxiv.org/abs/2411.12943
Object detection using automotive radars has not been explored with deep learning models in comparison to the camera based approaches. This can be attributed to the lack of public radar datasets. In this paper, we collect a novel radar dataset that c
Externí odkaz:
http://arxiv.org/abs/2105.00363
Processing point clouds using deep neural networks is still a challenging task. Most existing models focus on object detection and registration with deep neural networks using point clouds. In this paper, we propose a deep model that learns to estima
Externí odkaz:
http://arxiv.org/abs/2103.03394
Autor:
Nowruzi, Farzan Erlik, Kolhatkar, Dhanvin, Kapoor, Prince, Heravi, Elnaz Jahani, Hassanat, Fahed Al, Laganiere, Robert, Rebut, Julien, Malik, Waqas
Camera and Lidar processing have been revolutionized with the rapid development of deep learning model architectures. Automotive radar is one of the crucial elements of automated driver assistance and autonomous driving systems. Radar still relies on
Externí odkaz:
http://arxiv.org/abs/2103.03387
Autor:
Nowruzi, Farzan Erlik, Kolhatkar, Dhanvin, Kapoor, Prince, Hassanat, Fahed Al, Heravi, Elnaz Jahani, Laganiere, Robert, Rebut, Julien, Malik, Waqas
In this work, we propose the use of radar with advanced deep segmentation models to identify open space in parking scenarios. A publically available dataset of radar observations called SCORP was collected. Deep models are evaluated with various rada
Externí odkaz:
http://arxiv.org/abs/2004.03449
Autor:
Nowruzi, Farzan Erlik, Kapoor, Prince, Kolhatkar, Dhanvin, Hassanat, Fahed Al, Laganiere, Robert, Rebut, Julien
In recent years, deep learning models have resulted in a huge amount of progress in various areas, including computer vision. By nature, the supervised training of deep models requires a large amount of data to be available. This ideal case is usuall
Externí odkaz:
http://arxiv.org/abs/1907.07061
Publikováno v:
Intelligent Robotics & Applications (9783642335020); 2012, p503-511, 9p
Publikováno v:
SN Computer Science; September 2022, Vol. 3 Issue: 5