Brain-like intelligent decision-making is a prevailing trend in today's world. However,
inspired by bionics and computer science, the linear neural network has become one of the …

The accuracy and real time are crucial in turning intention recognition. Therefore, a hybrid
model of Gaussian mixture hidden Markov and generalized growing and pruning algorithm …

针对车辆机动行为识别建模中多目标时空依赖关系的不确定性难以表述和刻画的问题,
提出了基于多隐马尔可夫模型(M-HMM) 的建模方法, 对多种因素影响下的道路交通微观态势的 …

To research braking force distribution ratio of composite braking system for pure electric bus,
a composite braking control strategy based on brake driving intention recognition was …

匹配多模耦合驱动系统可以使插电式混合动力汽车具备高效的集中式与分布式耦合驱动功能,
但基于该系统所开展的整车经济性研究尚且不足. 为降低整车能耗, 开展基于驾驶意图识别的 …

A behavior prediction method for autonomous driving vehicles based on the improved
Hidden Markov Model is proposed in this paper. Firstly, several groups of initial model …

针对驾驶员在紧急状况下存在着因踏板力不足而导致制动距离过长问题, 以某电动液压助力制动
系统为研究对象, 提出了一种基于隐马尔可夫模型的驾驶员制动意图识别方法 …

前方车辆驾驶人意图信息对后方车辆预警防撞模型危险判断至关重要, 针对传统防撞模型误警率
高, 制动不及时等问题, 设计了一种考虑前方车辆驾驶人意图的汽车主动预警防撞模型. 首先 …

Autonomous vehicles are playing an increasingly important role in production and life, but
for some high-speed, malicious attempts to move obstacles, their safety performance can not …