Vehicle monitoring using camera networks is an important task for traffic applications.
Moreover, it becomes critical in nighttime, when the probability of an accident considerably …

Video-based vehicle detection and tracking is one of the most important components for
intelligent transportation systems. When it comes to road junctions, the problem becomes …

In this paper, we present a deep learning model for high-accuracy, high-speed detection of
vehicle taillights in traffic. The model consists of three major modules: the lane detector, the …

Autonomous vehicles are mainly dependent on Advanced Driver Assistance System
(ADAS). One of the most important feature in ADAS is vehicle detection. There are many …

Research in advanced driver assistance system (ADAS) is an important step towards
achieving the goal of autonomous intelligent vehicle. Vehicle detection and its distance …

为了能够在夜间检测前方同向车辆的坐标位置, 提出了一种夜间车辆尾灯识别方法.
先对摄像头采集的前方交通图像进行颜色处理, 采用自适应阈值和固定阈值分割尾灯光晕和背景 …

Visual vehicle surveillance has become an important research field due to its wide range of
traffic applications. This task becomes more relevant in nighttime because accidents …

This work presents a driver assistance system to detect brake and parking signals. Vehicle
present ahead of the host vehicle performs sudden action such as applying brakes. The host …

In this Ph. D. thesis, few-shot learning techniques have been proposed for object detection
and semantic segmentation in innovative high-impact applications in the fields of geology …

Automatic vehicle detection is a very important function for autonomous vehicles.
Conventional vehicle detection approaches are based on visible-light images obtained from …