3 citations · 4 across the 19 of their papers we have counts for
7 papers · 1 filter
Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation
Mohammed Aldeen, Muhammad Sami Irfan, Sagar Dasgupta +3
Autonomous vehicles (AVs) depend on Global Navigation Satellite Systems (GNSS) for localization and navigation, making them vulnerable to spoofing attacks that can covertly redirec…
Evaluating the Impact of Adversarial Attacks on Traffic Sign Classification using the LISA Dataset
Nabeyou Tadessa, Balaji Iyangar, Mashrur Chowdhury
Adversarial attacks pose significant threats to machine learning models by introducing carefully crafted perturbations that cause misclassification. While prior work has primarily…
DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
Jin Ma, Mohammed Aldeen, Christopher Salas +4
Object detection is fundamental to various real-world applications, such as security monitoring and surveillance video analysis. Despite their advancements, state-of-the-art object…
Precision-Aware Video Compression for Reducing Bandwidth Requirements in Video Communication for Vehicle Detection-Based Applications
Abyad Enan, Jon C Calhoun, Mashrur Chowdhury
Computer vision has become a popular tool in intelligent transportation systems (ITS), enabling various applications through roadside traffic cameras that capture video and transmi…
Understanding the Risks of Asphalt Art to the Reliability of Vision-Based Perception Systems
Jin Ma, Abyad Enan, Long Cheng +1
Artistic crosswalks featuring asphalt art, introduced by different organizations in recent years, aim to enhance the visibility and safety of pedestrians. However, their visual com…
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch
Abyad Enan, Mashrur Chowdhury
Computer vision plays a critical role in ensuring the safe navigation of autonomous vehicles (AVs). An AV perception module facilitates safe navigation. This module enables AVs to…
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
M Sabbir Salek, Abdullah Al Mamun, Mashrur Chowdhury
This study developed a generative adversarial network (GAN)-based defense method for traffic sign classification in an autonomous vehicle (AV), referred to as the attack-resilient…