Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alghooneh, Ahmad Reza"'
Autor:
Ning, Minghao, Cui, Yaodong, Yang, Yufeng, Huang, Shucheng, Liu, Zhenan, Alghooneh, Ahmad Reza, Hashemi, Ehsan, Khajepour, Amir
This paper presents a novel real-time, delay-aware cooperative perception system designed for intelligent mobility platforms operating in dynamic indoor environments. The system contains a network of multi-modal sensor nodes and a central node that c
Externí odkaz:
http://arxiv.org/abs/2411.02624
Autor:
Ning, Minghao, Alghooneh, Ahmad Reza, Sun, Chen, Zhang, Ruihe, Panahandeh, Pouya, Tuer, Steven, Hashemi, Ehsan, Khajepour, Amir
In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. Perception is crucial in autonomous driving, where many deep learning-based methods, while accurate on benchmark datasets,
Externí odkaz:
http://arxiv.org/abs/2410.22314
Autor:
Bhatt, Neel P., Zhang, Ruihe, Ning, Minghao, Alghooneh, Ahmad Reza, Sun, Joseph, Panahandeh, Pouya, Mohammadbagher, Ehsan, Ecclestone, Ted, MacCallum, Ben, Hashemi, Ehsan, Khajepour, Amir
All-weather autonomous vehicle operation poses significant challenges, encompassing modules from perception and decision-making to path planning and control. The complexity arises from the need to address adverse weather conditions such as rain, snow
Externí odkaz:
http://arxiv.org/abs/2312.00938
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.