Active safety systems employ surround environment perception in order to detect critical
driving situations. Assessing the threat level, eg the risk of an imminent collision, is usually …

In the fields of advanced driver assistance systems (ADAS) and Internet of Vehicles (IoV),
predicting the vehicle state is essential, including the ego vehicle's position, velocity, and …

Trajectory and intention prediction of traffic participants is an important task in automated
driving and crucial for safe interaction with the environment. In this paper, we present a new …

In probabilistic approaches, where uncertainties in pedestrian motion are counted, the
distance model is important for the accurate and robust collision risks evaluation. Focusing …

为对智能车周围环境中车辆的行驶轨迹做出合理, 有效的预测, 提出了一种基于行为识别和曲率
约束的车辆轨迹预测方法. 首先, 接收感知得到的障碍物信息, 结合高精度地图提供的车道线信息 …

In order to develop a driver assistance system for pedestrian protection, pedestrians in the
environment of a truck are detected by radars and a camera and are tracked across …

In order to enhance the driving safety of intelligent vehicles in complex road scenarios, a
method for vehicle operation risk assessment and early warning based on the predictive risk …

Driver situation awareness is critical for safety. In this paper, we propose a fast, accurate
method for obtaining real-time situation awareness using a single type of sensor: monocular …

To reduce fatalities in road accidents, one factor is the protection of pedestrians as
vulnerable road users. Active driver assistance systems are able to reduce the accident …

One of the major challenges in advanced driver assistance systems is the interpretation of
available environment information. It is the foundation for system activation strategies and …