Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

Zapisane w:

Opis bibliograficzny
Wydane w:	Remote Sensing vol. 11, no. 8 (Feb 2019), p. n/a
1. autor:	Zhu, Jiasong
Kolejni autorzy:	Chen, Siyuan, Tu, Wei, Sun, Ke
Wydane:	MDPI AG
Hasła przedmiotowe:	France China International conferences Pedestrians Artificial neural networks Roads & highways Unmanned aerial vehicles Tracking Distance learning Traffic congestion Traffic conflicts Pedestrian traffic flow Computer simulation Pattern recognition Vehicles Bicycling Global positioning systems > GPS Traffic flow Pedestrian safety Social organization Traffic signals Traffic accidents & safety Target recognition Neural networks Moving targets Maximum likelihood estimation Methods Transit time Algorithms Movement Informatics Traffic control Urban transportation Internet of Things Traffic intersections Laboratories
Dostęp online:	Citation/Abstract Full Text Full Text - PDF
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Napisz pierwszy komentarz!