Automatic car damage detection has attracted significant attention in the car insurance
business. However, due to the lack of high-quality and publicly available datasets, we can …

This paper explores the representation of vehicle lights in computer vision and its
implications for various pattern recognition tasks in autonomous driving. Different …

Visible-infrared object detection has attracted increasing attention recently due to its
superior performance and cost-efficiency. Most existing methods focus on the detection of …

Vehicle light detection is required for important downstream safe autonomous driving tasks,
such as predicting a vehicle's light state to determine if the vehicle is making a lane change …

This paper explores the representation of vehicle lights in computer vision and its
implications for various tasks in the field of autonomous driving. Different specifications for …

The challenge of evaluating deep learning-based object detection models in complex traffic
scenarios, characterized by changing weather and lighting conditions, is addressed in this …

The collision avoidance system (CAS) is an essential system for safe driving that alerts the
driver or automatically applies the brakes in an expected situation of a vehicle collision. To …

In the realm of automobile insurance, the imperative of automating car damage evaluation
has surged, offering streamlined assessment processes and heightened accuracy. Deep …

Due to its potential for reliably anticipating gold prices, machine learning for gold price
prediction has become a hot study topic in recent years, which is essential for investors and …

Rear‐lamp tracking at night is a research topic in night vision that is essential for Advanced
Driver Assistance Systems (ADAS). Most current computer vision‐based methods address …