Connected Cooperative Ecodriving System Considering Human Driver Error

Predictive Assessment of Driver Errors Using Human Error Template (HET)

Abstract Background an aims: Worldwide statistics declare that 1.2 million people are killed as a result of a road traffic accident (RTA). Besides, 20-50 million are injured every year. Traffic accidents account for leading causes 1.2% of deaths and 23% of injuries. In Iran, 16,000 people are annually cut short in traffic accidents. A great number of people suffer from non-fatal injuries/disab...

Toward Cooperative and Human Error-Tolerant System

This paper focuses on parameters related to the human machine cooperation and erroneous human behaviour affecting the system performance and safety. The concept of cooperation is presented through three prerequisites: the Know-How related to competences, Know-How-to-Cooperate related to coordination between activities and the Need-to-Cooperate to justify the activities of cooperation. It is ext...

A Cooperative Driver Assistance System: Decentralization Process and Test Framework

Cooperative Driving has attracted significant attention in recent years. With the help of vehicleto-vehicle (V2V) communication, perception systems may increase their quality of signals, their availability, and their perception range as well as decrease their latency and probability of failure. Moreover, V2V communication enables advancements from individual to cooperative decision making. With...

Assembling Connected Cooperative Residential Domains

Lossless Watermarking Considering the Human Visual System

Due to quantization error, bit-replacement, or truncation, most data embedding techniques proposed so far lead to distortions in the original image. These distortions create problems in some areas such as medical, astronomical, and military imagery. Lossless watermarking is an exact restoration approach for recovering the original image from the watermarked image. In this paper we present a nov...