Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

The Covid-19 outbreak, which emerged in 2020, became the top priority of the world. The
fight against this disease, which has caused millions of people's deaths, is still ongoing, and …

Vehicle detection and classification is a challenging move in the field of traffic management
and surveillance. With the rapid increase in the number of vehicles on roads, streets, and …

Abstract Vehicle Detection and Recognition is a challenging move in the field of Traffic
Management as it requires special attention and technique for the efficient management of …

Vehicle detection is an indispensable part of environmental perception technology for smart
cars. Aiming at the issues that conventional vehicle detection can be easily restricted by …

及时发现并诊断变电站运行中设备存在的问题, 是保障电网安全运行的关键手段之一.
基于深度网络与知识图谱技术, 提出一种关联变电站设备多模态信息的故障智能诊断方法 …

Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

This paper introduces an adaptive method for detecting front vehicles under complex
weather conditions. In the field of vehicle detection from images extracted by cameras …

Vehicle detection is still challenging for intelligent transportation systems (ITS) to achieve
satisfactory performance. The existing methods based on one stage and two-stage have …

The rising number of automobiles on the road worldwide leads to the incidence of accidents
and reckless driving. According to the WHO (World Health Organization), road traffic …