(EMAILWIRE.COM, October 31, 2024 ) The UAV-Drone-Navigation System Market is expected to grow from USD 960 million in 2024 to USD 1,520 million by 2029, representing a CAGR of 11.2%. The increase in demand for UAVs across sectors, including commercial applications, military operations, and public...

Published at LXer: Tiny but useful tools that complement the cd command. Free and open source goodness. Read More... (https://linuxlinks.com/navigationtools/)

Fr. Pat looks at three images of the Church found in 1 Corinthians 3 and Matthew 14.

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.

Aim/Purpose: This paper proposes a new approach to developing a deep learning-based prototyping wearable model which can assist blind and visually disabled people to recognize their environments and navigate through them. As a result, visually impaired people will be able to manage day-to-day activities and navigate through the world around them more easily. Background: In recent decades, the development of navigational devices has posed challenges for researchers to design smart guidance systems for visually impaired and blind individuals in navigating through known or unknown environments. Efforts need to be made to analyze the existing research from a historical perspective. Early studies of electronic travel aids should be integrated with the use of assistive technology-based artificial vision models for visually impaired persons. Methodology: This paper is an advancement of our previous research work, where we performed a sensor-based navigation system. In this research, the navigation of the visually disabled person is carried out with a vision-based 3D-designed wearable model and a vision-based smart stick. The wearable model used a neural network-based You Only Look Once (YOLO) algorithm to detect the course of the navigational path which is augmented by a GPS-based smart Stick. Over 100 images of each of the three classes, namely straight path, left path and right path, are being trained using supervised learning. The model accurately predicts a straight path with 79% mean average precision (mAP), the right path with 83% mAP, and the left path with 85% mAP. The average accuracy of the wearable model is 82.33% and that of the smart stick is 96.14% which combined gives an overall accuracy of 89.24%. Contribution: This research contributes to the design of a low-cost navigational standalone system that will be handy to use and help people to navigate safely in real-time scenarios. The challenging self-built dataset of various paths is generated and transfer learning is performed on the YOLO-v5 model after augmentation and manual annotation. To analyze and evaluate the model, various metrics, such as model losses, recall value, precision, and maP, are used. Findings: These were the main findings of the study: • To detect objects, the deep learning model uses a higher version of YOLO, i.e., a YOLOv5 detector, that may help those with visual im-pairments to improve their quality of navigational mobilities in known or unknown environments. • The developed standalone model has an option to be integrated into any other assistive applications like Electronic Travel Aids (ETAs) • It is the single neural network technology that allows the model to achieve high levels of detection accuracy of around 0.823 mAP with a custom dataset as compared to 0.895 with the COCO dataset. Due to its lightning-speed of 45 FPS object detection technology, it has become popular. Recommendations for Practitioners: Practitioners can help the model’s efficiency by increasing the sample size and classes used in training the model. Recommendation for Researchers: To detect objects in an image or live cam, there are various algorithms, e.g., R-CNN, Retina Net, Single Shot Detector (SSD), YOLO. Researchers can choose to use the YOLO version owing to its superior performance. Moreover, one of the YOLO versions, YOLOv5, outperforms its other versions such as YOLOv3 and YOLOv4 in terms of speed and accuracy. Impact on Society: We discuss new low-cost technologies that enable visually impaired people to navigate effectively in indoor environments. Future Research: The future of deep learning could incorporate recurrent neural networks on a larger set of data with special AI-based processors to avoid latency.

ROAMEO Gen4 is a fully autonomous mobile security patrol robot, with a 360-degree field of view, high-resolution cameras, and advanced AI analytics based on AITX’s proprietary AIR technology.

Image: Had (the same) and(s) pop up at the bottom of multiple pages blocking the thread/page/forum navigation buttons -- and there doesn't seem to be a way to dismiss/minimize/close it either

Children's Geographies; 10/01/2023
(AN 173035619); ISSN: 14733285
Academic Search Premier

A new report says wind turbine generators used in offshore wind farms can interfere with navigational radar used by ships to avoid collisions, posing challenges for safe maritime navigation.

 Helping Clinicians automate workflows for better patient outcomes

After the successful Kickstarter campaign of 'Autopro X', a dongle that transforms vehicle navigation into a laptop by Mayton Motion, the company is now launching a relay funding campaign on Indiegogo.

Mayton Motion is launching AutoPro X, the world's first wireless adapter that allows users to use the car navigation screen like a laptop on the global crowdfunding platform Kickstarter.

The Global Positioning System (GPS) program, established in 1973, needs to launch four Lockheed Martin [LMT] GPS III satellites with the L5 signal in short order to help counter adversary […]

FSTP-CONF-F921 - Compliance of audio-based navigation system for persons with vision impairment

Trimble has introduced the latest version of Trimble CoPilot, an in-cab commercial vehicle navigation solution, with a major refresh of the user interface and trip planning functionalities.

Location: Electronic Resource- 

Location: Electronic Resource- 

Location: Electronic Resource- 

After an update of Office, Outlook now displays the navigation buttons for Mail, Calendar, Contacts, Tasks, etc… on the left side next to the Folder List.

These Navigation buttons used to be displayed within the Folder List at the bottom.

Where is the option to move the Navigation buttons back to their original location?

Google is adding more generative AI features to popular navigation apps such as Google Maps and Waze.

Bridge House's "work-first" approach is similar to Aurora's philosophy of how best to lift people out of homelessness.

41 manual navigation pac

From helping you explore even more with Immersive View to taking the stress out of your drive, here are updates on Google Maps you won’t want to miss.

Meanwhile, WhatsApp is working on a username feature

London : Published by the Boydell Press for the Hakluyt Society, 2024

London, Institute of Navigation.

Royal Enfield, the legendary two-wheeler brand is working on several products that are currently in the pipeline. This information was confirmed by Simon Warburton, Royal Enfield's Head of Product...

Earlier, it used to be available on high-end expensive motorcycles, but now it is available in affordable scooters from, for example, TVS Motor Company. Allow us to list five from various segments.

Royal Enfield, the legendary two-wheeler brand is working on several products that are currently in the pipeline. This information was confirmed by Simon Warburton, Royal Enfield's Head of Product...

Companies like TVS and Hero MotoCorp have already entered the world of connected mobility. According to Bikewale, Royal Enfield is also likely to enter the world of connected mobility.

Investments in new technologies help Equifax protect sensitive data?

We present a method for optimal path planning of human walking paths in mountainous terrain, using a control theoretic formulation and a Hamilton-Jacobi-Bellman equation. Previous models for human navigation were entirely deterministic, assuming perfect knowledge of the ambient elevation data and human walking velocity as a function of local slope of the terrain. Our model includes a stochastic component which can account for uncertainty in the problem, and thus includes a Hamilton-Jacobi-Bellman equation with viscosity. We discuss the model in the presence and absence of stochastic effects, and suggest numerical methods for simulating the model. We discuss two different notions of an optimal path when there is uncertainty in the problem. Finally, we compare the optimal paths suggested by the model at different levels of uncertainty, and observe that as the size of the uncertainty tends to zero (and thus the viscosity in the equation tends to zero), the optimal path tends toward the deterministic optimal path.

Vision-and-Language Navigation (VLN) requires an agent to follow natural-language instructions, explore the given environments, and reach the desired target locations. These step-by-step navigational instructions are crucial when the agent is navigating new environments about which it has no prior knowledge. Most recent works that study VLN observe a significant performance drop when tested on unseen environments (i.e., environments not used in training), indicating that the neural agent models are highly biased towards training environments. Although this issue is considered as one of the major challenges in VLN research, it is still under-studied and needs a clearer explanation. In this work, we design novel diagnosis experiments via environment re-splitting and feature replacement, looking into possible reasons for this environment bias. We observe that neither the language nor the underlying navigational graph, but the low-level visual appearance conveyed by ResNet features directly affects the agent model and contributes to this environment bias in results. According to this observation, we explore several kinds of semantic representations that contain less low-level visual information, hence the agent learned with these features could be better generalized to unseen testing environments. Without modifying the baseline agent model and its training method, our explored semantic features significantly decrease the performance gaps between seen and unseen on multiple datasets (i.e. R2R, R4R, and CVDN) and achieve competitive unseen results to previous state-of-the-art models. Our code and features are available at: https://github.com/zhangybzbo/EnvBiasVLN

Breadcrumbs are a subtle element of a website that helps improve usability and navigation. They’re a utility that often receives little acknowledgment; however, breadcrumbs can have a large impact and provide a plethora of benefits, such as lowering bounce rate, increasing conversions, and improving user satisfaction.   Imagine you’re in a regular grocery store, except […]

The post 5 Best Practices for Breadcrumb Navigation  appeared first on WebFX Blog.

Navigation systems and associated methods for providing navigation services are provided. Information associated with a desired route for a vehicle, such as a route between a current location and a desired destination, may be determined. Additionally, contextual information associated with the vehicle may be identified. Based upon the desired route and the contextual information, a direction may be generated for presentation to one or more users, and the generated direction may be output for presentation.

According to a map display device, from current location information acquired by a current location acquiring unit 6 and boundary coordinate information in time zone information acquired by a time zone information acquiring unit 22, it is determined whether or not a vehicle 9 is located within a set area which is provided in the range of a predetermined distance from a boundary of a time zone to which a current location of the vehicle 9 belongs, and if it is determined that the vehicle 9 is located within the set area, a display unit 3 displays distinctively the time zone to which the current location of the vehicle 9 belongs and a time zone which is adjacent to the corresponding time zone through the set area.

A navigation system having a central device which uses a link shape compression unit to compress information of altitude changes of a road link obtained from a three-dimensional road map, and calculates a geometry parameter based on variation of energy of a vehicle travelling on the road link. An on-board terminal device estimates the vehicle's average travelling pattern by using a travel-pattern-estimation unit based on the geometry parameter calculated by the central device, a link-travelling time estimated from statistically-stored traffic information, and a link length. The on-board terminal device further calculates fuel consumption of the vehicle travelling on each road link based on the estimated travelling pattern and parameters of the vehicle by using a fuel-consumption calculation unit, and then, searches a fuel-efficient route by using the fuel consumption as a link cost. The on-board terminal device has a vehicle-type selector for selecting a type of the vehicle.

A navigation system may calculate a route to a destination and output guidance information with an output device to guide a user of the navigation system along the calculated route. If it is determined that a navigation device has left the calculated route, the navigation system may prompt the user asking whether output of guidance information should be suspended. If the output of guidance information should be suspended, the navigation system may suspend the output of guidance information and calculate a new route to the destination while the output of guidance information is suspended. The navigation system may calculate an estimated arrival time at the destination based on the calculated new route and output the estimated arrival time while the output of guidance information is suspended.

A method of operation of a navigation system includes: receiving an origin and a destination; receiving a route keyword for routing between the origin and the destination; identifying a via point matching the route keyword; calculating a keyword group locale based on the via point within a group distance threshold from a keyword group center; and calculating a travel route from the origin to the destination traversing the keyword group locale for displaying on a device.

A navigation system and various methods of using the system are described herein. Search query results are refined by the system and are prioritized based at least in part upon sub-search categories selected during the searching process. Sub-searches can be represented by graphical icons displayed on the user interface.

Some embodiments provide a mapping application that provides routing information to third-party applications on a device. The mapping application receives route data that includes first and second locations. Based on the route data, the mapping application provides a set of routing applications that provide navigation information. The mapping application receives a selection of a routing application in the set of routing applications. The mapping application passes the route data to the selected routing application in order for the routing application to provide navigation information.

An audio navigation device comprising an input means for inputting two or more audio pieces into the navigation device; a spatialization means for allocating a position in the form of a unique spatial co-ordinate to each audio piece and arranging the audio pieces in a multi-dimensional arrangement; a generating means for generating a binaural audio output for each audio piece, wherein the audio output simulates sounds that would be made by one or more physical sources located at the given position of each audio piece; an output means for simultaneously outputting multiple audio pieces as binaural audio output to a user; a navigation means for enabling a user to navigate around the audio outputs in the multi-dimensional arrangement; a selection means for allowing a user to select a single audio output.