A comprehensive survey on autonomous driving cars: A perspective view

S Devi, P Malarvezhi, R Dayana… - Wireless Personal …, 2020 - Springer
Over the past decades Machine Learning and Deep Learning algorithm played a vital part in
the development of Autonomous Vehicle. It is indeed for the perception system to examine …

Restinet: On improving the performance of tiny-yolo-based cnn architecture for applications in human detection

SS Sumit, DR Awang Rambli, S Mirjalili, MM Ejaz… - Applied Sciences, 2022 - mdpi.com
Human detection is a special application of object recognition and is considered one of the
greatest challenges in computer vision. It is the starting point of a number of applications …

Feasibility study of fish disease detection using computer vision and deep convolutional neural network (dcnn) algorithm

ML Yasruddin, MAH Ismail, Z Husin… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Detection of diseased fish at an early stage is necessary to prevent the spread of the
disease. However, detecting fish diseases still uses a manual process and requires a high …

Human detection and tracking with deep convolutional neural networks under the constrained of noise and occluded scenes

EU Haq, H Jianjun, K Li, HU Haq - Multimedia Tools and Applications, 2020 - Springer
Human detection and tracking is a key aspect in surveillance system due to its importance in
timely identification of person, recognition of human activity and scene analysis …

Deep neuro-vision embedded architecture for safety assessment in perceptive advanced driver assistance systems: the pedestrian tracking system use-case

F Rundo, S Conoci, C Spampinato, R Leotta… - Frontiers in …, 2021 - frontiersin.org
In recent years, the automotive field has been changed by the accelerated rise of new
technologies. Specifically, autonomous driving has revolutionized the car manufacturer's …

An intelligent deep learning based capsule network model for human detection in indoor surveillance videos

S Ushasukhanya, TYJN Malleswari, M Karthikeyan… - Soft Computing, 2024 - Springer
At present times, indoor surveillance becomes a hot research topic among researchers and
business sectors. Human detection is one of the vital areas of focus in the surveillance …

Advanced eNose-driven pedestrian tracking pipeline for intelligent car driver assisting system: preliminary results

F Rundo, I Anfuso, MG Amore, A Ortis, A Messina… - Sensors, 2022 - mdpi.com
From a biological point of view, alcohol human attentional impairment occurs before
reaching a Blood Alcohol Content (BAC index) of 0.08%(0.05% under the Italian legislation) …

Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning

TV Tran, H Nguyen-Xuan, X Zhuang - Frontiers of Structural and Civil …, 2024 - Springer
Identifying crack and predicting crack propagation are critical processes for the risk
assessment of engineering structures. Most traditional approaches to crack modeling are …

SurDis: a surface discontinuity dataset for wearable technology to assist blind navigation in urban environments

KY Leong, SM Lim - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Abstract According to World Health Organization, there is an estimated 2.2 billion people
with a near or distance vision impairment worldwide. Difficulty in self-navigation is one of the …

Intelligent Saliency-based Deep Pedestrian Tracking System for Advanced Driving Assistance

F Rundo, R Leotta, S Battiato… - 2021 AEIT International …, 2021 - ieeexplore.ieee.org
In an attempt to make the new generations of cars ever safer, scientific investigation is
recently focused on monitoring the driver's attention level strongly correlated to the cardiac …