Vehicle GPS tracking systems and Vehicle localization
GPS Declassified examines the development of GPS from its secret, Cold War military roots to its emergence as a worldwide consumer industry. Drawing on previously unexplored documents, the military rivalries influenced the creation of GPS and shaped public perceptions about its origin. Since the United States’ first program to launch a satellite in the late 1950s, the nation has pursued dual paths into space—one military and secret, the other scientific and public. Among the many commercial spinoffs this approach has produced, GPS arguably boasts the greatest impact on our daily lives. Told by the son of a navy insider—whose work helped lay the foundations for the system—and a science and technology journalist, the research and technological advances required for the development of GPS. GPS moved from the laboratory to the battlefield to the dashboard and the smartphone, and they raise the specter of how this technology and its surrounding industry affect public policy. Insights into how the system works and how it fits into a long history of advances in navigation tie into discussions of the myriad applications for GPS tracker.
Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. The concept of opportunistic localization using a smart phone with the following sensor technologies: Wi-Fi, GSM, GPS and two embedded accelerometers. A particle filter based estimator with an adaptive motion model is used to seamlessly fuse the different sensory readings. Real experiments in multi-floor, indoor-outdoor environments were conducted to analyze the performance of the proposed system. The achieved results using various sensor combinations are presented.
Recently, wireless traffic sensors present themselves as a low cost and non-intrusive alternative to wired traffic sensors. We propose a vehicle localization method that utilizes the signals of the wireless sensors. A vehicle is equipped with a receiver and overhears the geo-tagged packets transmitted by wireless traffic sensors. An onboard computer then computes the distribution of possible vehicle locations using an algorithm based on the principles of particle filtering. In our simulation, the proposed method outperforms the proximity centroid method by an average of 79%.
Vehicle localization and tracking have many applications, including vehicle navigation, theft detection, roadside assistance, etc. Most vehicle localization systems are based on GPS with map matching, which is accurate only up to about 10
meters. This is particularly a problem when the vehicle is at dense road networks, such as highway junctions. GPS tracking platform also suffer from the problem of ”lose of signals” such as when the vehicles are in tunnels or under trees. Dead eckoning is commonly used when GPS signals are lost where a vehicle locates itself based on its last known GPS location and the speed it travels afterwards. Dead reckoning has even higher location errors and the errors are cumulative.
In most US cities, traffic sensors are used to monitor traffic, measure pavement wearing, and provide information for adaptive traffic signal control systems. Cab service providers are taking great advantage of the vehicle GPS tracker in order to enhance the efficiency of their services. Customers prefer cabs with GPS tracking systems as they are safer and more reliable. Plus, the tracking system faithfully keeps a track of the kilometres travelled. So, the customers will know that they are paying the right amount for the distance travelled. Recently, wireless sensors have emerged as a low cost and non-intrusive alternative to wired sensors. Comparing to traditional sensors such as the embedded loops, they are small in size, operate on batteries, and can last up to 10 years. The wireless signal transmitted by the sensor devices provides a new way of vehicle localization.
Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. The concept of opportunistic localization using a smart phone with the following sensor technologies: Wi-Fi, GSM, GPS and two embedded accelerometers. A particle filter based estimator with an adaptive motion model is used to seamlessly fuse the different sensory readings. Real experiments in multi-floor, indoor-outdoor environments were conducted to analyze the performance of the proposed system. The achieved results using various sensor combinations are presented.
Recently, wireless traffic sensors present themselves as a low cost and non-intrusive alternative to wired traffic sensors. We propose a vehicle localization method that utilizes the signals of the wireless sensors. A vehicle is equipped with a receiver and overhears the geo-tagged packets transmitted by wireless traffic sensors. An onboard computer then computes the distribution of possible vehicle locations using an algorithm based on the principles of particle filtering. In our simulation, the proposed method outperforms the proximity centroid method by an average of 79%.
Vehicle localization and tracking have many applications, including vehicle navigation, theft detection, roadside assistance, etc. Most vehicle localization systems are based on GPS with map matching, which is accurate only up to about 10
meters. This is particularly a problem when the vehicle is at dense road networks, such as highway junctions. GPS tracking platform also suffer from the problem of ”lose of signals” such as when the vehicles are in tunnels or under trees. Dead eckoning is commonly used when GPS signals are lost where a vehicle locates itself based on its last known GPS location and the speed it travels afterwards. Dead reckoning has even higher location errors and the errors are cumulative.
In most US cities, traffic sensors are used to monitor traffic, measure pavement wearing, and provide information for adaptive traffic signal control systems. Cab service providers are taking great advantage of the vehicle GPS tracker in order to enhance the efficiency of their services. Customers prefer cabs with GPS tracking systems as they are safer and more reliable. Plus, the tracking system faithfully keeps a track of the kilometres travelled. So, the customers will know that they are paying the right amount for the distance travelled. Recently, wireless sensors have emerged as a low cost and non-intrusive alternative to wired sensors. Comparing to traditional sensors such as the embedded loops, they are small in size, operate on batteries, and can last up to 10 years. The wireless signal transmitted by the sensor devices provides a new way of vehicle localization.
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