Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

The recent advances in artificial intelligence have already begun to penetrate our daily lives.
Even though the development is still in its infancy, it has been shown that it can outperform …

Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

Pedestrian detection appears to be an integral part of a vast array of vision-based
technologies, ranging from item recognition and monitoring via surveillance cameras to …

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …

The recent advancement in artificial intelligence approach or deep learning techniques
explored the ways to facilitate automation in various sectors. The application of deep …

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 …

Most autonomous vehicles build their perception systems on expensive sensors, such as
LIDAR, RADAR, and high-precision Global Positioning System (GPS). However, cameras …

3D object detection and classification are crucial tasks for perception in Autonomous Driving
(AD). To promptly and correctly react to environment changes and avoid hazards, it is of …

Vehicle detection is essential for driverless systems. However, the current single sensor
detection mode is no longer sufficient in complex and changing traffic environments …