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Lane Visual Detection and Recognition Technology
The purpose of lane image understanding is to perform visual navigation. Most of the early outdoor mobile robot visual navigation methods are no map...
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Robust Environmental Perception of Multi-sensor Data Fusion
In this chapter, the multi-sensor data fusion based neural networks are adopted to environmental perception fault tolerance algorithms. Multi-sensor...
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Similarities Between Wavelets and Fractals
Wavelets and fractals have application and property areas that are similar. We discuss these areas of similarities in this chapter. The key types of...
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Machine Learning-Based Object Detection Using Raspberry Pi
The power system is operating steadily which is impacted by the dependability of electrical components. Historically, electrical components have a...
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Machine Learning Classification and Segmentation of Forest Fires in Wide Area Motion Imagery
Numerous models and simulations exist for characterizing and predicting wildland fire behavior. The U.S. Forest Service (USFS) and other...
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Reconstruction of Spatial Environment in Three-Dimensional Scenes
The problem of reconstruction of real images and their digitization is one of the Central themes of modern Cybernetics. Therefore, the relevance of...
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Navigation Optimisations
This chapter is a synthesis of air navigation optimisations, starting with a study of the optimal 4D trajectory search using a comprehensive...
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Robotic Firefighting: A Review and Future Perspective
Firefighters are constantly exposed to the danger of hot, dark, and toxic fire environments during their firefighting operations and suffer injuries...
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Object Detection Under Occlusion in Aerial Images: A Review
For processing of an image for the applications of object detection used in various fields such as vehicle detection, traffic monitoring, human...
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Image Analysis Techniques to Characterize Scaled Embankment Failures
The present work consists in the application of image analysis techniques to characterize the failure by overtop** of a scaled embankment dam that...
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Approach for improved development of advanced driver assistance systems for future smart mobility concepts
To use the benefits of Advanced Driver Assistance Systems (ADAS)-Tests in simulation and reality a new approach for using Augmented Reality (AR) in...
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Genetic Algorithm Applications for Challenging Real-World Problems: Some Recent Advances and Future Trends
Originated from the work of J. Holland in the 70s, genetic algorithms have become one of the most popular and widely used computational developments...
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Survey Paper on Detection of Water Bodies in Satellite Imagery
Water body extraction from satellite images helps us to study water resources. Due to constant changes in weather and increase of global warming, it...
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Applications of UAVs in Search and Rescue
Unmanned aerial vehicles (UAVs) have grown in popularity over the last decade, with applications ranging from agriculture to commercial and...
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Perception for Humanoid Robots
Purpose of ReviewThe field of humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their...
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Crisis Assessment Through Satellite Footage Using Deep Learning Techniques for Efficient Disaster Response
Natural disasters possess the capacity to cause substantial and extensive harm, resulting in noteworthy economic ramifications. Interestingly, there...
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A Framework for Detecting and Extracting Discontinuities Based on Machine Learning
Rock mass discontinuities play a significant role in evaluating the stability of rock slopes. It is necessary to collect and analyze these...
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Visual Localization and Map** in Dynamic and Changing Environments
The real-world deployment of fully autonomous mobile robots depends on a robust simultaneous localization and map** (SLAM) system, capable of...
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A Survey of Robotic Harvesting Systems and Enabling Technologies
This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span...
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Classification of 3D Remote Sensing Images Through Dimensionality Reduction and Semantic Segmentation Network
Recently, methods based on semantic segmentation networks have achieved state-of-the-art performance in the classification of 2D remote sensing...