Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

Autonomous driving systems have emerged with the promise of preventing accidents. The
first critical aspect of these systems is perception, where the regular practice is the use of top …

An intelligent, accurate, and powerful object detection system is required for automated
driving systems to keep these vehicles aware of their surrounding objects. Thus, vehicles …

The field of autonomous driving research has made significant strides toward achieving full
automation, endowing vehicles with self-awareness and independent decision making …

Artificial intelligence and machine learning have great ability to solve real-time problems
related to various fields and have many applications. One such subfield is deep learning …

The vehicles are the core elements of smart transportation, and vehicle identification &
classification is an essential task in many sub-areas of smart transportation. With the change …

Semantic web-based video surveillance systems can provide strong decision-making
support for managers, and they have high requirements for real-time and precision of …

Dynamic objects in the environment can compromise map quality and, in severe cases, lead
to robot localization failures. To address this issue, this paper proposes a simultaneous …

Introduction Sea jellyfish stings pose a threat to human health, and traditional detection
methods face challenges in terms of accuracy and real-time capabilities. Methods To …

The issue of traffic accident fatalities is a serious concern on a global scale, and one of the
contributing factors is the failure of drivers to adhere to seat belt usage. A notable challenge …