The increasing requirements for vehicle driving safety improvement have led to numerous
and in-depth studies on vehicle stability, especially for autonomous vehicles. The main …

Semantic segmentation in 3D meshes is the classification of its constituent element (s) into
specific classes or categories. Using the powerful feature extraction abilities of deep neural …

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

Active suspension systems (ASSs) are crucial for realizing the improvement demand of ride
comfort in autonomous vehicles (AVs). This paper presents a novel integrated robust …

Although significant progress has been made, achieving place recognition in environments
with perspective changes, seasonal variations, and scene transformations remains …

Multi-sensor fusion is essential for 3D object detection in intelligent transportation due to it
makes best use of cross-modality information, in which feature-level fusion of millimeter …

With the application of multi-sensor fusion technologies in object detection, Self-driving
automobiles have received more and more attention. The complementary advantages of …

Autonomous vehicles have emerged as a transformative technology with wide-ranging
implications for smart cities, revolutionizing transportation systems and optimizing urban …

Traffic monitoring is essential for the efficiency and safety of urban transportation systems. It
helps in observing traffic congestion, incidents, accidents, roadworks, and other disruptions …

In order to comprehend the environments from different aspects, a large variety of computer
vision methods are developed to detect objects, classify objects or even segment them …