A machine learning approach to pedestrian detection for autonomous vehicles using high-definition 3D range data

PJ Navarro, C Fernandez, R Borraz, D Alonso - Sensors, 2016 - mdpi.com
This article describes an automated sensor-based system to detect pedestrians in an
autonomous vehicle application. Although the vehicle is equipped with a broad set of …

Efficient and robust pedestrian detection using deep learning for human-aware navigation

A Mateus, D Ribeiro, P Miraldo… - Robotics and Autonomous …, 2019 - Elsevier
This paper addresses the problem of Human-Aware Navigation (HAN), using multi camera
sensors to implement a vision-based person tracking system. The main contributions of this …

Pedestrian counting with occlusion handling using stereo thermal cameras

MS Kristoffersen, JV Dueholm, R Gade, TB Moeslund - Sensors, 2016 - mdpi.com
The number of pedestrians walking the streets or gathered in public spaces is a valuable
piece of information for shop owners, city governments, event organizers and many others …

Pedestrian traffic light control with crosswalk FMCW radar and group tracking algorithm

P Nimac, A Krpič, B Batagelj, A Gams - Sensors, 2022 - mdpi.com
The increased mobility requirements of modern lifestyles put more stress on existing traffic
infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for …

Multispectral pedestrian detection based on feature complementation and enhancement

L Nie, M Lu, Z He, J Hu, Z Yin - IET Intelligent Transport …, 2024 - Wiley Online Library
Multispectral pedestrian detection with visible light and infrared images is robust to changes
in lighting conditions and therefore is of great importance to numerous applications that …

Development of Algorithms and Software for Automatic Pedestrian Recognition for Intelligent Situation Control Systems

N Abramov, V Rakova, D Barinov… - IOP Conference …, 2019 - iopscience.iop.org
The article is devoted to the development of algorithms and software that automatically
recognize road users-pedestrians, build their trajectory according to the analysis of the video …

Detecting multi-resolution pedestrians using group cost-sensitive boosting with channel features

C Zhu, XC Yin - Sensors, 2019 - mdpi.com
Significant progress has been achieved in the past few years for the challenging task of
pedestrian detection. Nevertheless, a major bottleneck of existing state-of-the-art …

Un estudio de la generalización en la clasificación de peatones

F Ronchetti, F Quiroga, G Camele, W Hasperué… - Revista Cubana de …, 2021 - rctd.uic.cu
Desde el surgimiento de los Histogramas de Gradientes Orientados (HOG, por sus siglas en
inglés) en 2005 como el descriptor más utilizado para la detección de peatones, ha habido …

Criticality Labeling Via Optimal Control and Machine Learning in Automotive Active Safety

S Herrmann - 2019 - mediatum.ub.tum.de
Active safety systems require a criticality or threat metric to trigger interventions like
automatic emergency braking. We propose an optimal control problem (OCP) to find ground …

[CITATION][C] A real-time pedestrian detector using deep learning for human-aware navigation

D Ribeiro, A Mateus, JC Nascimento, P Miraldo - arxiv preprint arxiv:1607.04441, 2016