Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …

The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

LiDAR and camera are two critical sensors that can provide complementary information for
accurate 3D object detection. Most works are devoted to improving the detection …

In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on camera-or …

Trajectory prediction is a critical component for autonomous vehicles (AVs) to perform safe
planning and navigation. However, few studies have analyzed the adversarial robustness of …

Autonomous Vehicles (AVs) increasingly use LiDAR-based object detection systems to
perceive other vehicles and pedestrians on the road. While existing attacks on LiDAR-based …

The introduction of deep learning (DL) technology can improve the performance of cyber–
physical systems (CPSs) in many ways. However, this also brings new security issues. To …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

The rapid development of artificial intelligence, especially deep learning technology, has
advanced autonomous driving systems (ADSs) by providing precise control decisions to …