Zobrazeno 1 - 10
of 3 589
pro vyhledávání: '"A. Nazeri"'
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Autor:
Datar, Aniket, Pokhrel, Anuj, Nazeri, Mohammad, Rao, Madhan B., Pan, Chenhui, Zhang, Yufan, Harrison, Andre, Wigness, Maggie, Osteen, Philip R., Ye, Jinwei, Xiao, Xuesu
Long-duration, off-road, autonomous missions require robots to continuously perceive their surroundings regardless of the ambient lighting conditions. Most existing autonomy systems heavily rely on active sensing, e.g., LiDAR, RADAR, and Time-of-Flig
Externí odkaz:
http://arxiv.org/abs/2410.01105
Most traversability estimation techniques divide off-road terrain into traversable (e.g., pavement, gravel, and grass) and non-traversable (e.g., boulders, vegetation, and ditches) regions and then inform subsequent planners to produce trajectories o
Externí odkaz:
http://arxiv.org/abs/2409.17479
We present VertiEncoder, a self-supervised representation learning approach for robot mobility on vertically challenging terrain. Using the same pre-training process, VertiEncoder can handle four different downstream tasks, including forward kinodyna
Externí odkaz:
http://arxiv.org/abs/2409.11570
Wheeled robots have recently demonstrated superior mechanical capability to traverse vertically challenging terrain (e.g., extremely rugged boulders comparable in size to the vehicles themselves). Negotiating such terrain introduces significant varia
Externí odkaz:
http://arxiv.org/abs/2403.16419
Humans excel at efficiently navigating through crowds without collision by focusing on specific visual regions relevant to navigation. However, most robotic visual navigation methods rely on deep learning models pre-trained on vision tasks, which pri
Externí odkaz:
http://arxiv.org/abs/2403.08109
While the workspace of traditional ground vehicles is usually assumed to be in a 2D plane, i.e., SE(2), such an assumption may not hold when they drive at high speeds on unstructured off-road terrain: High-speed sharp turns on high-friction surfaces
Externí odkaz:
http://arxiv.org/abs/2402.07065
Autor:
Antony, Jibinraj, Hegiste, Vinit, Nazeri, Ali, Tavakoli, Hooman, Walunj, Snehal, Plociennik, Christiane, Ruskowski, Martin
Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry. Although many of the state-of-the-art (SOTA) OD models perform well on medium and lar
Externí odkaz:
http://arxiv.org/abs/2401.12729
Autor:
Majidpour, Amir, Jameel, Samer Kais, Majidpour, Jafar, Bagheri, Houra, Rashid, Tarik A., Nazeri, Ahmadreza, Aleaba, Mahshid Moheb
Introduction: The auditory brainstem response (ABR) is measured to find the brainstem-level peripheral auditory nerve system integrity in children having normal hearing. The Auditory Evoked Potential (AEP) is generated using acoustic stimuli. Interpr
Externí odkaz:
http://arxiv.org/abs/2401.17317
Autor:
Saeid Mahmoudian, Ali Fathi Jouzdani, Ahmadreza Nazeri, Kasra Bagherian, Mohadeseh Beiranvand, Zeinab Akbarnejad
Publikováno v:
IBRO Neuroscience Reports, Vol 17, Iss , Pp 407-414 (2024)
Given the high prevalence of tinnitus and anxiety among patients, understanding the mechanisms that increase anxiety is crucial. Neuroligin 2 (NLGN2) is an anxiety-related protein that has received much attention in recent years. On the other hand, t
Externí odkaz:
https://doaj.org/article/1a84e9ad84864aceb0bc5479a926838b
Autor:
Mohammad Sayadnasiri, Mohammad Reza Khodaei Ardakani, Ali Nazeri Astaneh, Mehdi Noroozi, Mostafa Deilami
Publikováno v:
Iranian Rehabilitation Journal, Vol 22, Iss 4, Pp 645-654 (2024)
Objectives: This study aimed to assess the clinical features, Electroencephalography (EEG) findings, and brain imaging results in psychiatric patients diagnosed with epilepsy at Razi Psychiatric Hospital. Methods: This retrospective descriptive-analy
Externí odkaz:
https://doaj.org/article/d56094a362794472bd3cae4051be57b9