Results 81 to 90 of about 10,507 (209)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

Mini-YOLOv3: Real-Time Object Detector for Embedded Applications

open access: yesIEEE Access, 2019
Real-time scene parsing through object detection running on an embedded device is very challenging, due to limited memory and computing power of embedded devices.
Qi-Chao Mao   +3 more
doaj   +1 more source

Cotton Stubble Detection Based on Improved YOLOv3

open access: yesAgronomy, 2023
The stubble after cotton harvesting was used as the detection object to achieve the visual navigation operation for residual film recovery after autumn.
Yukun Yang   +4 more
semanticscholar   +1 more source

Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley   +1 more source

Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin

open access: yesSensors, 2022
Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management.
Israel Edem Agbehadji   +4 more
doaj   +1 more source

Coal gangue detection and recognition method based on multiscale fusion lightweight network SMS‐YOLOv3

open access: yesEnergy Science & Engineering, 2023
Aiming at the problems of large memory footprint, low detection speed, and low detection accuracy for small and overlapping targets existing in the current coal gangue target detection algorithm, a real‐time detection method for coal gangue based on a ...
De-yong Li   +5 more
semanticscholar   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

The Rapid and Accurate Detection of Kidney Bean Seeds Based on a Compressed Yolov3 Model

open access: yesAgriculture, 2022
Due to their rich nutritional value, kidney beans are considered one of the major products of international agricultural trade. The conventional method used for the manual detection of seeds is inefficient and may damage the test object.
Yu Wang   +5 more
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao   +10 more
wiley   +1 more source

Online Detection of Surface Defects Based on Improved YOLOV3

open access: yesItalian National Conference on Sensors, 2022
Aiming at the problems of low efficiency and poor accuracy in the product surface defect detection. In this paper, an online surface defects detection method based on YOLOV3 is proposed.
X. Chen, Jun Lv, Y. Fang, Shichang Du
semanticscholar   +1 more source

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