Vehicle Ad hoc Networks (VANET) emerged as an application of Mobile Ad hoc Networks (MANET), which use Dedicated Short Range Communication (DSRC) to allow vehicles in close proximity to communicate with each other, or to communicate with roadside equipment. Applying wireless access technology in vehicular environments has led to the improvement of road safety and a reduction in the number of fa...

In view of the fact that a driver's smoking behavior seriously affects driving safety, feature pyramid network (FPN)-based identification method has been studied in order to reduce occurrence driver smoking. Most existing research focused on detection and recognition based movements while or smog characteristics. Therefore, probability misjudgment such methods is high, thus address this issue, ...

Human drivers have limited and time-varying cognitive resources when making decisions in real-world traffic scenarios, which often leads to unique stochastic behaviors that can not be explained by perfect rationality assumption, a widely accepted premise modeling driving presume rationally make maximize their own rewards under all circumstances. To explicitly address this disadvantage, study pr...

INTRODUCTION To evaluate the impact of needle driver design on laparoscopic suturing skills by experts and novices. METHODS Three experienced laparoscopic surgeons and 3 novice junior residents were asked to perform a fixed set of suturing tasks in a laparoscopic pelvic-trainer. The laparoscopic needle drivers compared were (1) the Ethicon driver (E 705R), (2) Karl Storz (KS) pistol grip (261...

Drivers have unique and rich driving behaviors when operating vehicles in traffic. This paper presents a novel driver behavior learning approach that captures the uniqueness richness of human realistic scenarios. A stochastic inverse reinforcement (SIRL) is proposed to learn distribution cost function, which represents with given set driver-specific demonstrations. Evaluations are conducted on ...