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Application Challenges from a Bird's-Eye View
[chapter]
2017
Computer Vision in Vehicle Technology
Preserved Fulltext
It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection ...
, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape ...
Choi K, Park S, Kim S, Lee K, Park J and Cho S 2010 Methods to detect road features for video-based in-vehicle navigation systems. ...
doi:10.1002/9781118868065.ch6
fatcat:fsljmro5izhh5mp4z3hcrgstby
Computer Vision in Self-Steering Tractors
2022
Machines
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Several computer vision algorithms based on different optical sensors have been developed for autonomous navigation in structured or semi-structured environments, such as orchards, yet are affected by ...
In recent research, stereovision systems emerge as superior to monocular systems for real-time in-field navigation, demonstrating higher stability and control accuracy, especially in extensive crops such ...
Acknowledgments: This work was supported by the MPhil program "Advanced Technologies in Informatics and Computers", hosted by the Department of Computer Science, International Hellenic University, Greece ...
doi:10.3390/machines10020129
fatcat:6khg7rfnsjen3e7ed4dsmkrv2a
Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches
2024
Algorithms
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challenges for automated vehicles in adverse weather, the basic structure of OD, and explores the landscape of traditional and deep learning (DL) approaches for OD within the realm of AVs. ...
Adverse weather circumstances present serious difficulties for object-detecting systems, which are essential to contemporary safety procedures, infrastructure for monitoring, and intelligent transportation ...
Acknowledgments: The authors would like to thank Prince Sultan University for their support.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/a17030103
fatcat:rx7cwlf7fjbmflvmh23d5axeau
AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
2019
Frontiers in Robotics and AI
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We describe our experiences developing simulator hardware and software and detail a user study that examines driver performance, visual attention, and preferences using two AR navigation interfaces. ...
This paper reports on a novel, low-cost, immersive driving simulator created using a myriad of custom hardware and software technologies specifically to examine basic and applied research questions related ...
Lastly, we acknowledge Progressive Insurance for donating the Mini Cooper in support of driving research. ...
doi:10.3389/frobt.2019.00098
pmid:33501113
pmcid:PMC7805674
fatcat:yvmbjru2wraq5cjklmub76ihwe
An assistive haptic interface for appearance-based indoor navigation
2016
Computer Vision and Image Understanding
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Finally, we describe a relatively lightweight systems architecture that enables images to be captured and location results to be served back to the haptic device based on journey information from multiple ...
Here, we propose a navigation technique using low-resolution images from wearable or hand-held cameras to identify landmarks that are indicative of a user's position along crowdsourced paths. ...
Radio frequency systems The latest systems for accurate outdoor navigation rely on information provided by satellite-based navigation systems, most commonly the Global Positioning System (GPS). ...
doi:10.1016/j.cviu.2016.02.014
fatcat:7avikn6i35dgbnxc2guppp4lzq
Mini-UAV flight and payload automated control system
2013
Military Technical Collection
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Loza In the article the research methods are considered that can be used for analyze the results of defence planning in the Armed Forces of Ukraine. ...
Pashuk Army Academy, Lviv MINI-UAV FLIGHT AND PAYLOAD AUTOMATED CONTROL SYSTEM This paper describes advanced control systems of miniature unmanned aerial vehicles (Mini-UAV, Small UAV, SUAV) in the world ...
The modern TV cameras provide NRT video information offering a familiar view of a scene for human eyes, stereoscopic viewing and system resolution unachievable in other optical systems or in thermal images ...
doi:10.33577/2312-4458.9.2013.90-94
fatcat:lwpieuk7mjf2rik4kdo5resfai
Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin
2021
IEEE Access
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We present an analysis of speech recognition systems and voice interfaces for driver monitoring systems based on the analysis of both audio and video data. ...
Multimodal speech recognition allows using audio data when video data are useless (e.g. at nighttime), as well as applying video data in acoustically noisy conditions (e.g., at highways). ...
In this regard, ASR in automotive voice navigation systems is highly popular and important. ...
doi:10.1109/access.2021.3062752
fatcat:qhmoigdls5b7xlgdgr52earzyi
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2311.05332v1 fatcat:4m32ajjpebeblfmch72tmpqa6u
Traditional approaches, both data-driven and rule-based, have been hindered by their inability to grasp the nuance of complex driving environments and the intentions of other road users. ...
This has been a significant bottleneck, particularly in the development of common sense reasoning and nuanced scene understanding necessary for safe and reliable autonomous driving. ...
GPT-4V: Observation: [...] depicts a vehicle navigating a nighttime road environment, with the focus on a curved section lit by a single streetlight. ...
arXiv:2311.05332v2
fatcat:l7y2edmlpza25nj5obthcgzqna
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
[article]
2022
arXiv
pre-print
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Complex urban traffic environments have irregular lighting and occlusions, and surveillance cameras can be mounted at a variety of angles, gather dirt, shake in the wind, while the traffic conditions are ...
Computer vision applications in intelligent transportation systems (ITS) and autonomous driving (AD) have gravitated towards deep neural network architectures in recent years. ...
Automated analysis of traffic surveillance videos in ITS systems is important for incident and congestion management, while perception in autonomous vehicles is critical for vehicle control and navigation ...
arXiv:2211.05120v1
fatcat:owqs7k65vfcophl2khmqxoqro4
New Learning Methods for Marine Oil Spill Response Training
2017
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation
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In these results, a need for vessel maneuvering and navigation exercises together with actual response measures training were emphasized. ...
Structure of the training programme, as well as the training objectives, are based on the findings from competence and education surveys conducted in spring 2016. ...
Described example module utilizes the navigational simulator system with an oil spill response functionality. ...
doi:10.12716/1001.11.02.18
fatcat:wazbn74pxvabfn7f5h7uik4ac4
When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges
2021
Applied Sciences
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In this paper, we focus on a critical part of ITS, i.e., sensing, and conducting a review on the recent advances in ITS sensing and EC applications in this field. ...
Under the context of smart city, intelligent transportation systems (ITS), such as a main building block of modern cities and edge computing (EC), as an emerging computing service that targets addressing ...
Chen et al. proposed a deep belief network structure to achieve attack detection in a transportation mobile edge computing environment [233] . ...
doi:10.3390/app11209680
fatcat:li4mubzsbncjbcqfewgr5wemeq
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
[article]
2021
arXiv
pre-print
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Third, we built a deep Q-learning-based agent, immune to stress-induced disorientation and anxiety, capable of making clear navigation decisions based on the observed and stored facts in live-fire environments ...
To bring the designed system into usage by firefighters, we designed a physical structure where the processed results are used as inputs in the creation of an augmented reality capable of advising firefighters ...
The recording of the video was performed in a closed and open environment for more than 6 hours. ...
arXiv:2107.11043v2
fatcat:3jm5zawelze7dhx37luja7mly4
A Hierarchical Task Analysis of Commercial Distribution Driving in the UK
2015
Procedia Manufacturing
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Furthermore, this analysis may also serve as an input to a wide range of human factors analyses for effective system design. ...
This hierarchical task analysis provides a normative characterization of commercial driving which informs driver training needs and course content, and supports industry expertise with a functional structure ...
Acknowledgments are also made to the European COST Action Scheme TU1102 for research Towards Autonomous Road Transport Systems from which a short-term scientific mission grant was awarded to perform the ...
doi:10.1016/j.promfg.2015.07.786
fatcat:rd5flnjz55gevh7idirg5u47iy
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities
2023
Drones
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The objective of this paper is to provide valuable information on various UAV-based bushfire management systems and machine-learning approaches to predict and effectively respond to bushfires in inaccessible ...
This review focuses on the use of UAVs in bushfire management for fire detection, fire prediction, autonomous navigation, obstacle avoidance, and search and rescue to improve the accuracy of fire prediction ...
The study [43] used monocular cameras for collecting videos, and simultaneous localization and mapping (SLAM) systems were used for navigation. ...
doi:10.3390/drones7010047
fatcat:n5fcebdrdvcznn3a6jiqwn3dsi
Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks
2022
Sensors
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Furthermore, this technique is crucial for maritime applications since situational awareness can bring various benefits to surveillance systems. ...
As a consequence, object detection is a challenging task. ...
This increases the speed of the system and facilitates training by providing a unified structure for training and inference. ...
doi:10.3390/s22186879
pmid:36146228
pmcid:PMC9501387
fatcat:svj2qycisbb7xbcku3nao6cxsa
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