Road crack segmentation from on-board cameras is a highly desirable yet challenging task
for road condition inspection and maintenance. However, existing methods trained on small …

As autonomous vehicles (AVs) become increasingly prevalent on the roads, their ability to
accurately interpret and understand traffic signs is crucial for ensuring reliable navigation …

In this work we present a novel deep learning-based approach to detect and specify map
deviations in erroneous or outdated high-definition (HD) maps using both sensor and map …

The unstructured-textual crash descriptions recorded by police officers is rarely utilized,
despite containing detailed information on traffic situations. This lack of utilization is mainly …

Despite all efforts to enhance safety, construction sites remain a major location for traffic
accidents. Short-term construction sites, in particular, face limitations in implementing …

Early consideration of failure modes in the feature development process is essential to
identify and trace risks across the physical and embedded AI components of intelligent …

In recent intelligent transportation systems (ITS), it is important to recognize pedestrians and
avoid collisions. Various sensors are used to detect pedestrians, and some research on …

The Traffic Sign Recognition (TSR) system is an essential component of Advanced Driver
Assistance Systems (ADAS), which assists drivers in detecting and understanding traffic …

From the perspective of artificial intelligence evaluation, the need to discover and explain
the potential shortness of the evaluated intelligent algorithms/systems as well as the need to …

Recent years have witnessed significant advancements in machine perception, particularly
in the context of self-driving vehicles. The accurate detection and interpretation of road signs …