Review of pedestrian detection techniques in automotive far‐infrared video

P Hurney, P Waldron, F Morgan… - IET intelligent …, 2015‏ - Wiley Online Library
The use of advanced driver assistance systems is becoming increasingly common in road‐
going vehicles. One application of these driver assistance systems is in the automated …

Appearance based pedestrians' head pose and body orientation estimation using deep learning

M Raza, Z Chen, SU Rehman, P Wang, P Bao - Neurocomputing, 2018‏ - Elsevier
Pedestrian orientation recognition, including head and body directions, is a demanding task
in human activity-recognition scenarios. While moving in one direction, a pedestrian may be …

Pedestrian crossing prediction using multiple context-based models

S Bonnin, TH Weisswange, F Kummert… - … IEEE Conference on …, 2014‏ - ieeexplore.ieee.org
In inner-city, most vehicle-pedestrian collisions occur when a pedestrian is crossing the road
and the driver does not see or pay attention to him. Current ADAS (advanced driver …

[کتاب][B] Object-level fusion for surround environment perception in automated driving applications

M Aeberhard - 2017‏ - eldorado.tu-dortmund.de
Driver assistance systems have increasingly relied on more sensors for new functions. As
advanced driver assistance system continue to improve towards automated driving, new …

A novel virtual anchor node-based localization algorithm for wireless sensor networks

P Liu, X Zhang, S Tian, Z Zhao… - … on Networking (ICN'07), 2007‏ - ieeexplore.ieee.org
The accuracy of localization is a significant criterion to evaluate the practical utility of
localization algorithm in wireless sensor networks. In mostly localization algorithms, one of …

Segmentation by weighted aggregation and perceptual hash for pedestrian detection

Y Liu, L Zou, J Li, J Yan, W Shi, D Deng - Journal of Visual Communication …, 2016‏ - Elsevier
Main challenges of pedestrian detection are caused by the intra-class variation of
pedestrians in clothing, scales, deformations, occlusions, and backgrounds. The prevalent …

Design and Analysis of an FPGA-based CNN for Exercise Recognition

D Trinh, J Ouyang - 2023 TRON Symposium (TRONSHOW), 2023‏ - ieeexplore.ieee.org
In this paper, we describe the design and analysis of an FPGA-based exercise detector, and
show the improvement in performance of an FPGA-based over a GPU-based human action …

Reactive trajectory planning and tracking for pedestrian-aware autonomous driving in urban environments

RG Cofield, R Gupta - 2016 IEEE Intelligent Vehicles …, 2016‏ - ieeexplore.ieee.org
In this paper, we address the problem of trajectory planning while simultaneously reacting to
the presence of pedestrians for an autonomous car on urban roads. Past work limits jerk …

Automated view orientation classification for x-ray images using deep neural networks

K Karthik, S Kamath - Smart computational intelligence in …, 2021‏ - taylorfrancis.com
In diagnostic medical images, the patient body orientation or view of the scanning posture is
often not recorded explicitly during storage in digital archive systems like Picture Archive …

A New Approach for Human Body Orientation Detection Using Camera Footage

A Kartal, N Shahbazi, EA Sezer… - 2023 8th International …, 2023‏ - ieeexplore.ieee.org
This study contributes to the field of orientation detection from camera footage, showcasing
the advancements in computer vision techniques and their practical applications. The …