Many important systems in the contemporary world rely on GPS, such as aviation and road networks, emergency and accident response, etc.
, but GPS signals are vulnerable to interference, destruction and deception.
According to foreign media reports, start-up company Tern AI proposed to create an independent derivative positioning system (IDPS), which can identify the location of vehicles or people without relying on satellite signals.
This means that no interference, construction or blind area obstacles can affect accurate positioning, and an alternative to GPS is expected.
(photo source: Tern AI), Shaun Moore, CEO and co-founder of Tern AI, said: “We can do the work of GPS without having to call space and ask, ‘where am I?'” The current system works by letting GPS receivers in cars or mobile phones receive signals from satellites orbiting the earth, including satellite information and the exact time at which the signal is sent.
The GPS receiver then calculates the distance to each satellite using the time it takes to transmit each signal.
By triangulating the distance, the receiver can determine its exact location and display it on applications such as Google Maps or Waze.
This method creates a globally standardized positioning technology, but it is also vulnerable to local interference.
Therefore, the automobile GPS system needs a more secure solution.
Tern AI’s IDPS is supported by an artificial intelligence (AI) model that captures real-time vehicle and mobile phone sensor data, as well as third-party map data, to provide consistent and accurate locations.
The model can be downloaded as a software package to the infotainment system of compatible vehicles.
If the vehicle is not compatible, you can download the system to your smartphone.
Tern’s model can use mobile phone sensor data to help determine the location, but in some cases, smartphones need to extract car sensor data from the vehicle’s on-board diagnostic port.
Moore says its goal is to get leading mapping products such as Apple Maps, Google Maps or Waze to get location information from Tern’s AI model, not from GPS.
The biggest advantage of Tern AI is that artificial intelligence can be used to parse data from existing sensors on smartphones and vehicles, such as speed and motion sensors.
Moore points out that Tern does not rely on computer vision and cameras to help it determine its location.
Moore points out that although GPS has improved, the fundamental nature of the technology has not changed, nor has it evolved enough to protect GPS from attack.
Other alternatives to GPS satellites, such as low-Earth orbit satellites and ground beacons, although impressive, are very expensive to install and maintain.
“there has been no major change in GPS technology in the past 50 years, while other solutions to solve or mitigate risks have achieved only minor improvements, not real innovation,” he said.
One of our founding principles is’No Signal’, which means we don’t have to ask for outside help to determine the location.
Now, as long as you add intelligence, the devices you have can do this.
” Tern validates its technology mainly through internal tests based on the framework of the United States Department of Transportation.
Moore said Tern’s IDPS can locate vehicles within a range of 4 meters, which is in line with the U.S. Department of Transportation’s current guidelines on emergency services.
The start-up is preparing to start testing with its listed partner in July (the anonymous partner is said to be a logistics, transportation and distribution giant) and is in talks with emergency services and automatic last mile distribution companies.
Tern plans to launch commercially in September.
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