Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Azam, Shoaib"'
Safety-critical traffic scenarios are integral to the development and validation of autonomous driving systems. These scenarios provide crucial insights into vehicle responses under high-risk conditions rarely encountered in real-world settings. Rece
Externí odkaz:
http://arxiv.org/abs/2410.04809
Autor:
Kujanpää, Kalle, Baimukashev, Daulet, Zhu, Shibei, Azam, Shoaib, Munir, Farzeen, Alcan, Gokhan, Kyrki, Ville
Building simulation environments for developing and testing autonomous vehicles necessitates that the simulators accurately model the statistical realism of the real-world environment, including the interaction with other vehicles driven by human dri
Externí odkaz:
http://arxiv.org/abs/2401.03236
Object detection is a core component of perception systems, providing the ego vehicle with information about its surroundings to ensure safe route planning. While cameras and Lidar have significantly advanced perception systems, their performance can
Externí odkaz:
http://arxiv.org/abs/2310.19405
Learning contextual and spatial environmental representations enhances autonomous vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception systems enhance spatial understanding with sensor fusion but often lack full e
Externí odkaz:
http://arxiv.org/abs/2210.06758
Autor:
Azam, Shoaib, Munir, Farzeen, Kyrki, Ville, Kucner, Tomasz Piotr, Jeon, Moongu, Pedrycz, Witold
Publikováno v:
In Engineering Applications of Artificial Intelligence September 2024 135
Imitation learning is employed to learn sensorimotor coordination for steering angle prediction in an end-to-end fashion requires expert demonstrations. These expert demonstrations are paired with environmental perception and vehicle control data. Th
Externí odkaz:
http://arxiv.org/abs/2202.05500
The research advancements have made the neural network algorithms deployed in the autonomous vehicle to perceive the surrounding. The standard exteroceptive sensors that are utilized for the perception of the environment are cameras and Lidar. Theref
Externí odkaz:
http://arxiv.org/abs/2111.15257
The sensibility and sensitivity of the environment play a decisive role in the safe and secure operation of autonomous vehicles. This perception of the surrounding is way similar to human visual representation. The human's brain perceives the environ
Externí odkaz:
http://arxiv.org/abs/2103.03150
Autonomous vehicles are conceived to provide safe and secure services by validating the safety standards as indicated by SOTIF-ISO/PAS-21448 (Safety of the intended functionality). Keeping in this context, the perception of the environment plays an i
Externí odkaz:
http://arxiv.org/abs/2101.03531
Publikováno v:
Munir, Farzeen, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, and Witold Pedrycz. "LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor." IEEE Transactions on Intelligent Transportation Systems (2021)
Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods incorporate handcrafted or deep learning-based features followed by p
Externí odkaz:
http://arxiv.org/abs/2009.08020