Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …

Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …

The Internet of Vehicles (IoV) is an active area for innovation and an essential tool in
achieving smart cities through the integration of vehicles with the Internet of Things (IoT). IoV …

Sensor‐based agriculture monitoring systems have limited outcomes on the detection or
counting of vegetables from agriculture fields due to the utilization of either conventional …

Multiple vehicle detection is a promising and challenging role in intelligent transportation
systems and computer vision applications. Most existing methods detect vehicles with …

Recently, gigapixel photography has been developed considerably and gradually put into
remote sensing, video surveillance, etc. Gigapixel images have a visible field of view area at …

Precise real‐time obstacle recognition is both vital to vehicle automation and extremely
resource intensive. Current deep‐learning based recognition techniques generally reach …

Information about vehicle safety, such as the driving safety status and the road safety index,
is of great importance to protect humans and support safe driving route planning. Despite …

Due to the ever increasing traffic on roads, there has been a pressing need for Automatic
Vehicle Detection (AVD) systems, so that the real-time traffic can be observed as well as …