Zhiwei Guan

TL;DR: An evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV route planning problem and shows that the optimized cruise distance and the number of UAVs used decrease.

TL;DR: The use of unmanned aerial vehicles was introduced to monitor a traffic situation and the respective cruise route optimization problem was given and the multi-objective evolutionary algorithm was subsequently proposed to plan the UAV cruise route.

TL;DR: A two-stage traffic sensor location method was proposed for low-volume road incident detection, with the optimization objective of maximizing incident detection rate and a real-coded genetic algorithm was proposed to optimize the traffic Sensor location problem.

TL;DR: In this article, a countdown traffic signal lamp state detection method and a monitoring system based on it is presented, which comprises the following steps: obtaining a signal lamp section in a current frame, conducting color identification to judge whether color errors exist, conducting a logic operation on signal lamp colors in all phases at an intersection, preprocessing a countdown character image, employing a fuzzy PCA method to identifying characters, and judging whether the characters are defective, whether the phrases are disordered and whether time among the phases is conflicting.

TL;DR: This method can directly determine the speed of a vehicle using videos of a traffic accident without any reference to the dimensions of the vehicle itself, and can effectively overcome the shortcomings of the commonly used speed recognition methods.