Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Laganiere, Robert"'
Fully sparse 3D detection has attracted an increasing interest in the recent years. However, the sparsity of the features in these frameworks challenges the generation of proposals because of the limited diffusion process. In addition, the quest for
Externí odkaz:
http://arxiv.org/abs/2409.06945
Recent works have demonstrated the importance of object completion in 3D Perception from Lidar signal. Several methods have been proposed in which modules were used to densify the point clouds produced by laser scanners, leading to better recall and
Externí odkaz:
http://arxiv.org/abs/2310.17842
Object detection utilizing Frequency Modulated Continous Wave radar is becoming increasingly popular in the field of autonomous systems. Radar does not possess the same drawbacks seen by other emission-based sensors such as LiDAR, primarily the degra
Externí odkaz:
http://arxiv.org/abs/2303.16940
Autor:
Li, Zhiqiang, Jiang, Jie, Chen, Xi, Zhang, Min, Wang, Yong, Li, Qingli, Qi, Honggang, Liu, Min, Laganière, Robert
Publikováno v:
In Expert Systems With Applications 1 May 2024 241
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
We present new theoretical algorithms that sums the n-ary comparators output in order to get the permutation indices in order to sort a sequence. By analysing the parallel ranking algorithm, we found that the special comparators number of elements it
Externí odkaz:
http://arxiv.org/abs/1910.11749