The Potential Application of Location-Based Services in Autonomous Vehicles: A Futuristic Perspective
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 464
Special Issue Editors
Interests: smart agriculture
Interests: mobile communications; IoT; smart cities; machine learning; deep learning
Interests: Internet of Things; ad hoc networks; efficient resource allocation; smart buildings; crowdsensing/crowdsourcing
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Special Issue Information
Dear Colleagues,
The potential of location-based services in autonomous vehicles is enormous. Autonomous vehicles require the ability to determine their position, and this is where location-based services can play an important role. Location-based services enable autonomous vehicles to determine their location using a combination of global positioning system (GPS) signals, WiFi signals, radio signals, and other data sources. This information is then used by the vehicle's computer system to create a map of its surroundings and make appropriate decisions about where to go, what obstacles to avoid, etc. Location-based services (LBS) are a set of technologies that allow users to access their location-based data in real time and to access information about other people and objects.
The autonomous vehicle industry is currently exploring LBS as a way to help vehicles operate more safely, more efficiently, and with greater accuracy. For example, autonomous vehicles may use LBS to provide navigation assistance or passenger information. While many people rely on their own senses to navigate through busy streets and neighborhoods, these systems use GPS signals to determine where parked vehicles are located. The system then displays real-time information about available parking spots nearby. This can save drivers time, fuel costs, and stress by eliminating the need for manual searching for parking spaces. Autonomous vehicles are also likely to come equipped with advanced sensors that can detect obstacles and determine the distance between themselves and other objects. These sensors could be used as part of an LBS system that provides driving directions based on current conditions. This technology can also be used by the drivers themselves when they find themselves lost or otherwise unable to navigate through their own city or state without assistance from someone else who might know exactly how things work there.
Location-based services (LBS) are integral to the autonomous vehicle, with their ability to provide navigation, help with parking, and even aid in emergency situations. However, there are some drawbacks to employing LBS in autonomous vehicles. The main drawback of employing location-based services in autonomous vehicles is that they require a considerable amount of data. The more data that are collected about a particular area, the more accurate predictions can be made about what will happen next with regard to traffic patterns and other factors. However, this also means that there needs to be a sufficient number of sensors on each individual vehicle so that they can be tracked by satellites orbiting the earth. Second, LBS requires a lot of energy and power both from the computers themselves as well as from the network they're tethered to. If your car has an area that is prone to frequent roadwork or construction projects that mess up wireless signals at regular intervals (such as bridges), then you may have trouble obtaining reliable LBS directions because those signals will not be strong enough for your system. In particular, this SI seeks to provide readers with alternatives to overcome these challenges for framing an effective system.
Topics of interest include, but are not limited to, the following:
- Location-based characteristics involved in autonomous vehicles: removing the barriers;
- Towards mobile location-based services for better transportation;
- Individual and autonomous LBS: the current state of the art and future prospects;
- Eliciting the applications of location-based services through numerous technologies;
- Promoting the preference for connected vehicles running with the help of technological devices;
- Fundamental research to evaluate behavioral responses and reactions to automated and connected vehicles;
- LBS in autonomous cars: implications for public health;
- Solutions for sustainable accessibility in automated vehicles;
- The state of the art of factors determining the application of automated vehicles;
- Seeing beyond the line of application: threats of LBS.
Dr. Salim El Khediri
Dr. Mohamed Lahby
Prof. Dr. Virginia Pilloni
Guest Editors
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