Enhancing the accuracy and reliability of perception systems in automated vehicles is
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …

Accurately identifying the driving threat could greatly improve the driving safety for
autonomous vehicles in the mixed traffic, where the human-driven and driverless, as well as …

In the era of rapid advancements in intelligent transportation, utilizing vehicle operating data
to evaluate the risk of freeway vehicles and study on vehicle early warning methods not only …

Objectives High definition map (HDM) is the “sensor” for automated driving (AD), which
integrates the real-time data collected by various sensors and the prior data collected in the …

Cooperative Intelligent Transport Systems (CITS) create, share and process massive
amounts of data which needs to be real-time managed to enable new cooperative and …

高精地图是自动驾驶的“传感器”, 为自动驾驶提供必要的先验数据以及相应的超视距感知,
校验定位, 动态规划和决策控制. 然而, 高精地图数据供给与自动驾驶知识需求仍存在鸿沟 …

With the exacerbation of bridge aging issues, the demand for efficient and cost-effective
bridge inspection solutions becomes increasingly urgent. Currently, most methods for …

The task of driving autonomously is difficult due to the vast number of driving situations a
system may be facing. Especially higher levels of automation in less restricted scopes …

We consider the problem of group interactions in urban driving. State-of-the-art behavior
planners for selfdriving cars mostly consider each single agent-to-agent interaction …

Driver support systems that include human states in the support process is an active
research field. Many recent approaches allow, for example, to sense the driver's drowsiness …