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 …

Autonomous vehicles perception (avp) using deep learning: Modeling, assessment, and challenges

HH Jebamikyous, R Kashef - IEEE Access, 2022 - ieeexplore.ieee.org
Perception is the fundamental task of any autonomous driving system, which gathers all the
necessary information about the surrounding environment of the moving vehicle. The …

Ultra-Lightweight Fast Anomaly Detectors for Industrial Applications

M Kocon, M Malesa, J Rapcewicz - Sensors, 2023 - mdpi.com
Quality inspection in the pharmaceutical and food industry is crucial to ensure that products
are safe for the customers. Among the properties that are controlled in the production …

Architecture and potential of connected and autonomous vehicles

M Pipicelli, A Gimelli, B Sessa, F De Nola, G Toscano… - Vehicles, 2024 - mdpi.com
The transport sector is under an intensive renovation process. Innovative concepts such as
shared and intermodal mobility, mobility as a service, and connected and autonomous …

Perceived rain dynamics on hydrophilic/hydrophobic lens surfaces and their influences on vehicle camera performance

WY Pao, L Li, M Agelin-Chaab - Transactions of the Canadian …, 2024 - cdnsciencepub.com
Cameras are increasingly used in modern vehicles equipped with advanced driver
assistance systems (ADAS) to collect environmental information. Cameras suffer …

遥感图像质量等级分类的深度卷积神经网络方法

郭从洲, 李可, 李贺, 童晓冲, 王习文 - 武汉大学学报(信息科学版), 2022 - ch.whu.edu.cn
遥感图像应用发展对图像质量的要求越来越高, 不同质量的遥感图像往往需要不同的处理方法和
参数. 通过遥感图像质量等级分类研究, 不仅能够为遥感图像的处理提供先验信息 …

Deep learning for obstacle avoidance in autonomous driving

M Garg, JS Ubhi, AK Aggarwal - Autonomous driving and …, 2021 - taylorfrancis.com
This chapter discusses various real-time challenges in the context of obstacle detection for
autonomous driving such as small objects, occlusion, shadows, object size variations, and …

[PDF][PDF] Real time vehicle detection, tracking, and inter-vehicle distance estimation based on stereovision and deep learning using YOLOv3

O Bourja, H Derrouz, HA Abdelali, A Maach… - International Journal of …, 2021 - academia.edu
In this paper, we propose a robust real-time vehicle tracking and inter-vehicle distance
estimation algorithm based on stereovision. Traffic images are captured by a stereoscopic …

Vehicle and pedestrian video-tracking: A review

R Fahmidha, SK Jose - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The tracking procedure of vehicles and people on foot through computerized video as of
now has quite a while of utilization and has situated both economically and scholastically …

[PDF][PDF] A Method of Evaluating ADAS Camera Performance in Rain–Case Studies with Hydrophilic and Hydrophobic Lenses

WY Pao, L Li, M Agelin-Chaab - Proceedings of the …, 2023 - savoirs.usherbrooke.ca
Advanced driver assistance systems (ADAS) are increasingly being equipped in modern
vehicles to provide safety warnings and autonomous functions. Cameras are a key …