P Sharma, J Gillanders - IEEE Access, 2022 - ieeexplore.ieee.org
Connected Autonomous Vehicles (CAVs) are transformational technologies that have demonstrated significant potential for shaping the future of transportation systems. CAV …
In autonomous driving (AD), accurate perception is indispensable to achieving safe and secure driving. Due to its safety-criticality, the security of AD perception has been widely …
Automated vehicles are a revolutionary step in mobility, providing a safe and convenient riding experience while keeping the human-driving task minimal to none. Therefore, these …
Recently, adversarial examples against object detection have been widely studied. However, it is difficult for these attacks to have an impact on visual perception in …
Localization in high-level Autonomous Driving (AD) systems is highly security critical. Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based …
The sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐ everything (V2X) communications have significantly contributed to the spark in the amount of …
Recent research in adversarial machine learning has focused on visual perception in Autonomous Driving (AD) and has shown that printed adversarial patches can attack object …
Natural language video localization (NLVL) is an important task in the vision-language understanding area, which calls for an in-depth understanding of not only computer vision …
Autonomous driving technologies have recently attracted outstanding attention from industry, academia, and research institutes due to a wide range of positive impact on …