دانلود و نمایش مقالات مرتبط با ناوبری::صفحه 1
دانلود بهترین مقالات isi همراه با ترجمه فارسی 2

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - ناوبری

تعداد مقالات یافته شده: 20
ردیف عنوان نوع
1 Design of robot automatic navigation under computer intelligent algorithm and machine vision
طراحی ربات ناوبری خودکار تحت الگوریتم هوشمند کامپیوتر و بینایی ماشین-2022
This work aims to explore the robot automatic navigation model under computer intelligent algorithms and machine vision, so that mobile robots can better serve all walks of life. In view of the current situation of high cost and poor work flexibility of intelligent robots, this work innovatively researches and improves the image processing algorithm and control algorithm. In the navigation line edge detection stage, aiming at the low ef- ficiency of the traditional ant colony algorithm, the Canny algorithm is combined to improve it, and a Canny- based ant colony algorithm is proposed to detect the trajectory edge. In addition, the Single Shot MultiBox Detector (SSD) algorithm is adopted to detect obstacles in the navigation trajectory of the robot. The perfor- mance is analyzed through simulation. The results show that the navigation accuracy of the Canny-based ant colony algorithm proposed in this work is basically stable at 89.62%, and its running time is the shortest. Further analysis of the proposed SSD neural network through comparison with other neural networks suggests that its feature recognition accuracy reaches 92.90%. The accuracy is at least 3.74% higher versus other neural network algorithms, the running time is stable at about 37.99 s, and the packet loss rate is close to 0. Therefore, the constructed mobile robot automatic navigation model can achieve high recognition accuracy under the premise of ensuring error. Moreover, the data transmission effect is ideal. It can provide experimental basis for the later promotion and adoption of mobile robots in various fields.
keywords: الگوریتم هوش کامپیوتری | بینایی ماشین | ربات | ناوبری خودکار | الگوریتم کلونی مورچه ها | Computer intelligence algorithm | Machine vision | Robot | Automatic navigation | Ant colony algorithm
مقاله انگلیسی
2 Spacecraft relative navigation with an omnidirectional vision sensor
ناوبری نسبی سفینه فضایی با سنسور دید همه جانبه-2021
With the onset of autonomous spacecraft formation flying missions, the ability of satellites to autonomously navigate relatively to other space objects has become essential. To implement spacecraft relative navigation, relative measurements should be taken, and processed using relative state estimation. An efficient way to generate such information is by using vision-based measurements. Cameras are passive, low-energy, and information-rich sensors that do not actively interact with other space objects. However, pointing cameras with a conventional field-of-view to other space objects requires much a-priori initialization data; in particular, dedicated attitude maneuvers are needed, which may interfere with the satellite’s main mission. One way to overcome these difficulties is to use an omnidirectional vision sensor, which has a 360-degree horizontal field of view. In this work, we present the development of an omnidirectional vision sensor for satellites, which can be used for spacecraft relative navigation, formation flying, and space situational awareness. The study includes the development of the measurement equations, dynamical models, and state estimation algorithms, as well as a numerical study, an experimental investigation, and a space scalability analysis.
Keywords: Omnidirectional vision sensor | Space navigation | Extended Kalman Filter | Computer vision | Spacecraft relative dynamics | Unified projection model
مقاله انگلیسی
3 Finding the shortest path in a familiar environment: A comparison between describing and walking a path after accounting for the role of individual factors
پیدا کردن کوتاه ترین مسیر در یک محیط آشنا: مقایسه بین توصیف و پیاده روی مسیر پس از حسابداری برای نقش عوامل فردی-2021
Finding the shortest path to a destination is a refined navigation ability little explored as yet in familiar envi- ronments. The present study examined this ability when walking or describing the path, and how performance relates to individual differences. Sixty-seven undergraduates familiar with the area around their campus were asked to find the shortest path to a destination by walking there or describing it in writing. Several visuospatial tasks and questionnaires were administered. It emerged that shortest path finding performance was supported by familiarity and sense of direction. After accounting for these individual factors, participants performed better when walking than when describing a path. Overall, the results showed that retrieving spatial knowledge about familiar environments relates to individual differences and recall condition, walking a path being easier than describing it.
keywords: محیط زیست آشنا | کوتاه ترین مسیر پیدا کردن | شرح فضایی | توانایی واسطه | حس جهت | جهت یابی | Familiar environment | Shortest path finding | Spatial description | Visuospatial ability | Sense of direction | Navigation
مقاله انگلیسی
4 Development of a vision system for safe and high-precision soft landing on the Moon
توسعه یک سیستم بینایی برای فرود نرم و ایمن و با دقت بالا بر روی ماه-2021
Modern stage of space exploration is tightly related with the Moon research, with the deployment of long-term research stations on its surface. One of the critical elements here is a system for providing a highly accurate and reliable soft landing. The task of soft landing was solved many years ago, however, its accuracy is insufficient for modern lunar projects. Modern computer vision systems allow getting high-quality surface images at all stages of landing, and processing them in real time. The use of technical vision is beneficial due to the low weight, dimensions and energy consumption.The following tasks are assigned to the vision system: self-position determination of the landing unit and selection of a suitable place for a safe landing. Self-position determination by the video is necessary for INS data correction. Two methods are considered: detection and comparison of craters, and GHT. Both methods use the vector map and don’t require actual high- precision orthoplan. The safe site choosing method uses the found position for binding it to the desired and undesirable sites map. After that a precise choice follows, which takes into account the surface angle, smoothness, presence of extensive shadow areas. The algorithm is able to select landing sites close to those manually selected by the operator. The obtained algorithms can work in real time with the influence of interfering factors (noise, changes in the Sun position, changing of camera angle), and can be used to solve the problem.© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 14th International Symposium “Intelligent Systems”.
Keywords: Visual navigation | safe landing | landing site selection | hough transform | computer vision
مقاله انگلیسی
5 Optimal guidance laws with prescribed degree of stability
قوانین راهنمایی بهینه با درجه ثبات تعیین شده-2020
The prescribed degree of stability criterion is used. This quadratic criterion involves an increasing exponential time dependent term in the integral part of the criterion. This criterion is used for derivation of guidance laws. The derived guidance law has the classical structure of guidance gain times the zero-effort miss. The important issue is the fact that initially the guidance gain and thus the commanded acceleration are larger than in the conventional Proportional Navigation guidance law, but near the end, the commanded acceleration is smaller. The new guidance law attempts to close the zero effort miss earlier in the scenario than the conventional guidance law.
Keywords: Guidance | Zero-effort-miss | Quadratic criterion | Proportional navigation
مقاله انگلیسی
6 AIS Data-Based for Statistics and Analysis of Maritime Traffic Dangerous Features: A Case Study of San Diego Costal Water
AIS مبتنی بر داده ها برای آمار و تجزیه و تحلیل ویژگی های خطرناک ترافیک دریایی: مطالعه موردی آب پایدار سن دیگو-2020
For analyzing the distribution characteristics of maritime traffic dangers and ensure the safety of ships navigating at sea, plotting the ship’s trajectory and making statistic based on the relevant dynamic data that can be extracted and analyzed from the Automatic Indentification System (AIS) information, the Distance to Closet Point of Approach (DCPA) between any two ships have been computed and applied. Through constructing the innovative three-dimensional bubbles chart to reflect the spatial characteristics from the DCPA matrix. Utilizing the Kernel Density Estimation (KDE) method, draws the heat map in the vicinity of San Diego sea area, measures the traffic danger characteristics of the costal sea area, and compares the analysis results with ArcGIS Pro 2.3. It reflects that the analysis results are consistent with the actual situation. The heat map has the powerful scientificity and practicability, can accurately measure the traffic distribution in the sea area, and provides auxiliary references for the planning and design of the ships routing system and maritime traffic safety management.
Key Words: Maritime Navigational Safety | Ship Automatic Identification System | Kernel Density Estimation | Distance to Closet Point of Approach
مقاله انگلیسی
7 Adaptive guidance and integrated navigation with reinforcement meta-learning
راهنمای تطبیقی و ناوبری یکپارچه با تقویت فرا یادگیری -2020
This paper proposes a novel adaptive guidance system developed using reinforcement meta-learning with a recurrent policy and value function approximator. The use of recurrent network layers allows the deployed policy to adapt in real time to environmental forces acting on the agent. We compare the performance of the DR/ DV guidance law, an RL agent with a non-recurrent policy, and an RL agent with a recurrent policy in four challenging environments with unknown but highly variable dynamics. These tasks include a safe Mars landing with random engine failure and a landing on an asteroid with unknown environmental dynamics. We also demonstrate the ability of a RL meta-learning optimized policy to implement a guidance law using observations consisting of only Doppler radar altimeter readings in a Mars landing environment, and LIDAR altimeter readings in an asteroid landing environment thus integrating guidance and navigation.
Keywords: Guidance | Meta learning | Reinforcement learning | Landing guidance
مقاله انگلیسی
8 A support system for civil aviation navigation equipment security management
یک سیستم پشتیبانی برای مدیریت امنیت تجهیزات ناوبری هواپیمایی کشوری-2020
Civil aviation navigation equipment system has many weaknesses, which easily causes serious problem to air transportation safety. This paper focuses on a support system for civil aviation navigation equipment security management. Firstly, a sustainability assessment platform was constructed to analysis and find out the weak- nesses of equipment network. Next, one network expansion planning platform was built to improve the relia- bility and business continuity of the whole navigation system. Experiments were carried out based on these two platforms. Also, the equipment network of China’s eastern part was expanded based on the business continuity assessment. Results proved that the network business continuity and node efficiencies of new equipment net- work can satisfy the lowest requirement of economic consumption. Finally, the optimal network expansion planning method has been achieved, proving the effectiveness of the civil aviation navigation equipment security management support system.
Keywords: Civil aviation safety | Navigation equipment system | Sustainability assessment | Equipment expansion planning
مقاله انگلیسی
9 Methadone treatment of arrestees: A randomized clinical trial
درمان متادون از دستگیر شدگان: یک کارآزمایی بالینی تصادفی-2020
Background: Opioid use disorder is common among detainees in US jails, yet methadone treatment is rarely initiated. Methods: This is a three-group randomized controlled trial in which 225 detainees in Baltimore treated for opioid withdrawal were assigned to: (1) interim methadone (IM) with patient navigation (IM+PN); (2) IM; or (3) enhanced treatment-as-usual (ETAU). Participants in both IM groups were able to enter standard methadone treatment upon release, while ETAU participants received an assessment/referral number. Follow-up assessments at 1, 3, 6, and 12 months post-release determined treatment enrollment, urine drug testing results, selfreported days of drug use, criminal activity, and overdose events. Generalized linear mixed modelling examined two planned contrasts: (1) IM groups combined vs. ETAU; and (2) IM+PN vs. IM. Results: On an intention-to-treat basis, compared to ETAU, significantly more participants in the combined IM groups were in treatment 30 days post-release, while the IM+PN vs. IM groups did not significantly differ. By month 12, there were no significant differences in the estimated marginal means of enrollment in any kind of drug treatment (0.40 and 0.27 for IM+PN and IM groups, respectively, compared to 0.29 for ETAU). There were no significant differences for either contrast in opioid-positive tests, although all groups reported a sharp decrease in heroin use from baseline to follow-up. There were five fatal overdoses, but none occurred during methadone treatment. Conclusion: Initiating methadone treatment in jail was effective in promoting entry into community-based drug abuse treatment but subsequent treatment discontinuation attenuated any potential impact of such treatment.
Keywords: Interim methadone treatment | Patient navigation | Criminal justice | Jail | Overdose death | Opioid use disorder
مقاله انگلیسی
10 Surgical Phase Recognition Method with a Sequential Consistency for CAOS-AI Navigation System
روش تشخیص مرحله جراحی با یک سازگاری متوالی برای سیستم ناوبری CAOS-AI-2020
The procedure of orthopedic surgery is quite complicated, and many kinds of equipment have been used. Operating room nurses who deliver surgical instruments to surgeon are supposed to be forced to incur a heavy burden. There are some studies to recognize surgical phase with convolutional neural network (CNN) in minimally invasive laparoscopic surgery only. Previously, we proposed a computer-aided orthopedic surgery (CAOS)-AI navigation system based on CNN. However, the work propose a method to improve accuracy of phase recognition by considering temporal dependency of orthopedic surgery video acquired from surgeon-wearable video camera. The method estimates current surgical phase by combining both temporal dependency and convolutional-long-short term memory network (CNN-LSTM). Experimental results shows a phase recognition accuracy of 59.9% by the proposed method applied in unicomapartmenatal knee arthroplasty (UKA).
Keywords: Deep Learning | Computer-aided Orthopaedic Surgery | Operating Room Nurse | Phase Recognition
مقاله انگلیسی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 10038 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 10038 :::::::: افراد آنلاین: 70