Название: Behavior Analysis and Modeling of Traffic Participants
Автор: Xiaolin Song, Haotian Cao
Издательство: Morgan & Claypool
Серия: Synthesis Lectures on Advances in Automotive Technology
Год: 2022
Страниц: 171
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
A road traffic participant is a person who directly participates in road traffic, such as vehicle drivers, passengers, pedestrians, or cyclists, however, traffic accidents cause numerous property losses, bodily injuries, and even deaths to them. To bring down the rate of traffic fatalities, the development of the intelligent vehicle is a much-valued technology nowadays. It is of great significance to the decision making and planning of a vehicle if the pedestrians' intentions and future trajectories, as well as those of surrounding vehicles, could be predicted, all in an effort to increase driving safety. Based on the image sequence collected by onboard monocular cameras, we use the Long Short-Term Memory (LSTM) based network with an enhanced attention mechanism to realize the intention and trajectory prediction of pedestrians and surrounding vehicles.
