They aim at precisely detecting non-motorized road users through data obtained from sensors on smartphones with low power. High level C-ITS protection relies on ...

Oct 22, 2024 · In this research effort, we attempt to detect VRUs with high accuracy be proposing a novel framework that includes using Deep Transfer Learning, ...

Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data · Date. 2020-10-25 · Type of Work. journal articles · Department · Program ...

Dive into the research topics of 'Deep transfer learning for vulnerable road users detection using smartphone sensors data'. Together they form a unique ...

Sep 24, 2020 · In this research effort, we attempt to detect VRUs with high accuracy be proposing a novel framework that includes using Deep Transfer Learning, ...

This study explores the use of low-power smartphone sensors and the Recurrence Quantification Analysis (RQA) features for this task, demonstrating that RQA ...

Abstract: A road detection method for a motor vehicle provided with at least one rotary multilayer LIDAR sensor and at least one data processor includes ...

In this research effort, we attempt to detect VRUs with high accuracy be proposing a novel framework that includes using Deep Transfer Learning, which saves ...

Jul 25, 2024 · Deep transfer learning for vulnerable road users detection using smartphone sensors data. Remote Sens. (Basel), 12 (21) (2020), p. 3508.

In this paper, we propose a camera based novel, real-time framework for detection and tracking of vulnerable road users, such as pedestrians and cyclists.