Based on communication and cooperation between vehicles and roadside infrastructure, Intelligent Transport Systems (ITS) safety applications offer great potential to avoid traffic accidents or at least reduce their impact. As these applications usually are delay-sensitive, the delay introduced by waiting for access to the wireless communication channel should both be reduced and provided with a...

Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help autonomous vehicles to plan a safe and efficient path. However, still challenging task because existing studies have mainly focused on the spatial interactions of adjacent regardless temporal dependencies. In this paper, we propose spatial-temporal attentive LSTM encoder–decoder model (STAM-LSTM) pr...

Perhaps the most successful development of the ARPA Unmanned Ground Vehicle (UGV) program is the ALVINN autonomous driving system. ALVINN is a neural network system that locates the road in images from a video camera mounted on a UGV and steers the vehicle to follow it. ALVINN has been demonstrated on several HMM WV test vehicles driving at speeds of up to 70 mph, and for distances of over 90 m...

The two main research branches in intelligent vehicles field are Advanced Driver Assistance Systems (ADAS) [1] and autonomous driving [2]. ADAS generally work on predefined enviroment and limited scenarios such as highway driving, low speed driving, night driving etc. In such situations this systems have sufficiently high performance and the main features that allow their large diffusion and th...

Vehicle detection is an essential task in the intelligent transportation system, which will affects the performance of surveillance directly. This paper presents an approach to detect vehicle from a sequence of traffic images obtained from expressway scenes. Firstly, inter-frame difference method was used to choose some frames with small traffic flow, and then pixels detected as background are ...

12 1094-7167/03/$17.00 © 2003 IEEE IEEE INTELLIGENT SYSTEMS industry has established more than 600 joint ventures and introduced 1,000 foreign technical inventions over the last 20 years. The total foreign investment has exceeded US$20 billion, more than 40 percent of the total Chinese automotive capital. The 2001 output reached 2.34 million vehicles, up from 0.71 million in 1991. This is a 3.3...

12 1094-7167/03/$17.00 © 2003 IEEE IEEE INTELLIGENT SYSTEMS industry has established more than 600 joint ventures and introduced 1,000 foreign technical inventions over the last 20 years. The total foreign investment has exceeded US$20 billion, more than 40 percent of the total Chinese automotive capital. The 2001 output reached 2.34 million vehicles, up from 0.71 million in 1991. This is a 3.3...

1. Introduction The development of intelligent vehicle safety systems is rapidly moving from autonomous systems relying on vehicle's own sensors towards cooperative systems utilising communications between vehicles or between infrastructure and vehicles. The paper discusses the results of two recent European studies assessing the socio economic impacts of intelligent vehicle systems, including ...