Vehicle detection from surveillance videos is of great significance for various Intelligent
Transportation System (ITS) applications. However, existing deep learning methods …

Vehicle detection plays a vital role in the design of Automatic Driving System (ADS), which
has achieved remarkable improvements in recent years. However, vehicle detection in night …

Existing night vehicle detection methods mainly detect vehicles by detecting headlights or
taillights. However, these features are adversely affected by the complex road lighting …

Night-time vehicle detection, which forms a basic component of the intelligent transportation
system, is a topic of intense research interest with multifarious challenges. Due to the …

Night-time vehicle detection plays a vital role due to the high incidence of abnormal events
in our daily security field. However, existing studies mainly focus on vehicle detection in …

Featured Application This paper proposes a deep-learning-based vehicle detection
technique that can achieve effective detection performance under extreme illumination …

Nighttime vehicle detection plays an essential role in Automatic Driving System (ADS) and
Driver Assistance System (DAS). However, the visual features of the vehicle at night are …

Vision-based autonomous driving systems need to overcome many challenges at nighttime,
such as complicated illumination conditions, dazzle caused by headlamps, light refraction …

Vehicles are important targets in the remote sensing applications and nighttime vehicle
detection has been a hot study topic in recent years. Vehicles in the visible images at …

For the past several decades, the number of vehicles has been increased for many times,
leading to a lot of traffic issues. The nighttime accident rate is much higher than that in …