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This paper proposes an intelligent surveillance system to estimate cyclist intentions at a signalized intersection crossing. The system uses a monocular camera ...
This paper proposes an intelligent surveillance system to estimate cyclist intentions at a signalized intersection crossing. The system uses a monocular camera ...
This paper proposes an intelligent surveillance system to estimate cyclist intentions at a signalized intersection crossing. The system uses a monocular camera ...
This article focuses on starting cyclists at an urban intersection and investigates 104 trajectories of uninstructed cyclists' heads, feet, and bikes, ...
Yanlei Gu, Yun Song, Igor Goncharenko, "Cyclist Intention Estimation at Signalized Intersections Using Deep Neural Networks," In Proc. of 2023 IEEE 12th ...
As deep neural networks can operate in real time, several methods can be used to identify and track traffic objects. With the help of computer vision, this ...
Apr 19, 2021 · This article presents a holistic approach for probabilistic cyclist intention detection and compares the method to a single model approach ...
Cyclist Intention Estimation at Signalized Intersections Using Deep Neural Networks. Conference Paper. Oct 2023. Yanlei Gu · Yun Song ...
This paper develops a two-layer integrated framework for bicycle trajectory prediction. The trajectory generation layer is used to provide a kinematically ...
This paper presents a review of recent developments in pedestrian and cyclist detection and intent estimation to increase the safety of autonomous vehicles.
Missing: Signalized | Show results with:Signalized