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Object detection in adverse weather condition for autonomous vehicles
As self-driving or autonomous vehicles proliferate in our society, there is a need for their computing vision systems to be able to identify objects...
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L-GAN: landmark-based generative adversarial network for efficient face de-identification
A large amount of high-quality data are collected through autonomous vehicles, CCTVs, guidance service robots, and web map services (Google Street...
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Benchmarks: Semantic Segmentation Neural Network Verification and Objection Detection Neural Network Verification in Perceptions Tasks of Autonomous Driving
The verification of the security of neural networks is cruicial, especially for the field of autonomous driving. Although there are currently...
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Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction
Landmark detection technology has a wide range of applications in people's lives, including map correcting, localization and navigation, etc....
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Landmark-based distributed topological map** and navigation in GPS-denied urban environments using teams of low-cost robots
In this paper, we address the problem of autonomous multi-robot map**, exploration and navigation in unknown, GPS-denied indoor or urban...
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UAV control in autonomous object-goal navigation: a systematic literature review
Research interest in autonomous control of unmanned aerial vehicles (UAVs) has increased rapidly over the past decade. They are now widely used in...
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A Systematic Review on Autonomous Vehicle: Traffic Sign Detection and Drowsiness Detection
The automatic detection of traffic signs is necessary for assisted driving, autonomous driving, and driving safety. Traffic sign play a significant...
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Towards applying image retrieval approach for finding semantic locations in autonomous vehicles
The current world today is indisputably digital and its advanced digital technologies have grown more rapidly than ever since. The recent scientific...
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Vision-based drone control for autonomous UAV cinematography
One of the most important aesthetic concepts in autonomous Unmanned Aerial Vehicle (UAV) cinematography is the UAV/Camera Motion Type (CMT),...
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Optimal Truncated MobileNet-Based Image Binarization for Pose-Based Visual Servoing of Autonomous Mobile Robot
Pose-based visual servoing (PBVS) can complement the frequent drift issue of light detection and ranging (LiDAR) coordinate of LiDAR-based...
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A lightweight small object detection algorithm based on improved YOLOv5 for driving scenarios
Small object detection has been a longstanding challenge in the field of object detection, and achieving high detection accuracy is crucial for...
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Design and Implementation of Autonomous Navigation System Based on Tracked Mobile Robot
In this paper, we introduce an autonomous exploration and rescue robot system based on a tracked mobile robot platform equipped with a 7...
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Exploring a Dynamic Ring Without Landmark
Consider a group of autonomous mobile computational entities, called agents, arbitrarily placed at some nodes of a dynamic but always connected ring....
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Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images
Deep reinforcement learning (DRL) is a promising technique for anatomical landmark detection in 3D medical images and a useful first step in...
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Map management for robust long-term visual localization of an autonomous shuttle in changing conditions
Changes in appearance present a tremendous problem for the visual localization of an autonomous vehicle in outdoor environments. Data association...
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Deep Learning Object Detection
Object detection techniques are a major part of computer vision research, with large-scale applications in industrial, scientific and other...
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Small object detection in diverse application landscapes: a survey
The importance of object detection within computer vision, especially in the context of detecting small objects, has notably increased. This thorough...
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Investigating Two-Stage Detection Methods Using Traffic Light Detection Dataset
Object detection is the process of using a camera to track an object or a group of objects over time. It is sometimes referred to as object tracking....
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A review of small object detection based on deep learning
Small object detection is widely used in a variety of fields such as automatic driving, UAV-based object detection, and aerial image detection....
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A single-stage fashion clothing detection using multilevel visual attention
Fashion is defined as a prevailing custom or style of dress, etiquette, and socialising. In recent years, fashion clothing analysis has attracted...
