For the last few decades, a lot of attention has been given to intelligent vehicle systems, and
in particular to automated safety and collision avoidance solutions. In this paper, we present …

对粒子滤波算法的原理和应用进行综述. 首先针对非线性非高斯系统的状态滤波问题,
阐述粒子滤波的原理; 然后在分析采样-重要性-重采样算法基础上, 讨论粒子滤波算法存在的主要 …

Driving safety is among the most important factors in the design of next generation vehicles
as an integral component of Intelligent Transportation Systems. Crash avoidance and …

The process of verification and validation of automated vehicles poses a multi-faceted
challenge with far-reaching societal, economical and ethical consequences. In particular …

One of the major challenges for the automotive industry will be the release and validation of
cooperative and automated vehicles. The immense driving distance that needs to be …

The autonomous emergency brake (AEB) is an active safety function for vehicles which aims
to reduce the severity of a collision. An AEB performs a full brake when an accident …

This paper deals with the problem of decision making in the context of forward collision
mitigation system design. The authors present a multilevel collision mitigation (CM) …

Avoiding collisions is a crucial issue in most transportation systems as well as in many other
applications. The task of a collision avoidance system is to track objects of potential collision …

Threat assessment evaluates the situational criticality and helps guarantee the driving safety
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …

This paper considers the decision-making problem for a human-driven vehicle crossing a
road intersection in the presence of other, potentially errant, drivers. Our approach relies on …