Wu Chaozhong

TL;DR: In this article, a method and a system for avoiding the vehicle and pedestrian collision in road-vehicle coordination environment is presented, which comprises the following steps including (1) information collection: information used for identifying collision risk is collected; (2) driving state discrimination: the current driving state of a vehicle is discriminated; (3) collision risk identification: whether the collision risk exists or not is identified according to the collected collision risk information and the current driver state of the vehicle; (4) collision avoiding: a targeted avoiding method is adopted according to driving state for implementing the

TL;DR: In this paper, a system and a method for preventing pedestrians from collision based on vehicle-road cooperation is presented, which consists of a vehicle-mounted module, a road-side module, an information interaction between the road side module and the vehicle mounted module, and the data of the roadside module and vehiclemounted module both are sent to the central processing module for fusing and processing multi-source information and sending an instruction to the display and control module to execute a collision preventing measure.

TL;DR: In this paper, an intelligent traffic monitoring camera for identifying vehicle illegal movement modes is presented. But, it is not suitable for the use in traffic accident responsibility determination and division, as it is limited to a certain degree and cannot be used to solve traffic accidents.

TL;DR: In this paper, the authors proposed a temporary traffic control method for an environment that part lanes are enclosed, which includes the steps of warning prompt, where a traffic warning sign that the front lane is narrowed is arranged at the position 300 m or 150 m before a waving section, and a sign that lane changing is prohibited is arranged in the same time.

TL;DR: In this paper, a barrier vehicle-mounted early warning device and method based on a light emitting diode (LED) lamp group is presented, which consists of a pedestrian barrier recognition module, a brightness sensor, a processing module, an LED lamp group module and a sound warning module.