The intelligent vehicle community has devoted considerable efforts to model driver behavior, and in particular to detect and overcome driver distraction in an effort to reduce accidents caused by driver negligence. However, as the domain increasingly shifts towards autonomous and semi-autonomous solutions, the driver is no longer integral to the decision making process, indicating a need to ref...

We describe a working prototype computer vision system for measuring the blink rate of car drivers. It combines an intelligent face recognition system with feature tracking, and statistical image analysis methods to locate and track the head position of a driver in a car, and extract specific measurements from the eyes. This is done using standard hardware (a Sun IPC workstation and frame grabb...

VANET (Vehicular adhoc network) this provide intelligent service to the real time road information by using navigation service. Service support is required to reach specific destination. The RSU (road side unit) is use to find best route and also source information can be authenticated using real-time road information. Security services provide protection to driver and support to query of drive...

The standard robot identification method is based on the use of inverse dynamic model (IDM) and application Least Squares (LS) estimation while tracking trajectories. Although this approach has been successfully applied to several industrial robots, friction assumed be linear. In paper, a two-step LS proposed that corrects limitation. first step, State-Dependent-Parameter (SDP) combined with ID...

OBJECTIVE To determine whether full-term newborn infants of diabetic mothers (IDM) present immature/disorganised EEG patterns in the immediate neonatal period, and whether there was any relationship with maternal glycaemic control. DESIGN AND SETTING Cohort study with an incidental sample performed in a tertiary hospital neonatal unit. PATIENTS 23 IDM and 22 healthy newborns born between 20...