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Tern AI’s low-cost GPS alternative actually works
Tern AI has developed a low-cost GPS alternative that utilizes vehicle sensor data and map information for positioning, eliminating the need for satellites. Demonstrated at SXSW, the system promises faster, more accurate location tracking, particularly in challenging environments like tunnels, and offers privacy advantages. It addresses commercial losses from GPS failures and aligns with U.S. efforts to diversify positioning technologies.
Key points
- Tern AI's system relies on existing vehicle sensor data and maps instead of satellites.
- The lack of dependency on GPS reduces vulnerability to signal spoofing, enhancing national security.
- The system can localize vehicles in places where GPS struggles, such as tunnels and urban environments.
- It is designed for scalability; integration requires only software updates, making it cheaper than existing GPS solutions.
- The technology was demonstrated in a 2019 Honda Civic and achieved convergence in about 10 minutes during a cold start.
- Tern AI has received a contract from the U.S. Department of Transportation to further explore government collaboration.
Why it matters
- The move towards alternatives to GPS reflects broader trends in positioning, navigation, and timing (PNT) services as noted in the U.S. government policies.
- Emerging alternatives mitigate risks associated with reliance on single-source GPS systems, especially with growing cybersecurity threats.
- Tech companies are increasingly looking for innovative ways to integrate more resilient navigation solutions, as seen in the rise of smart vehicles and IoT devices.
Tern AI's innovative approach to vehicle positioning could revolutionize industries reliant on GPS, ensuring faster, more reliable, and secure location services while meeting the growing need for alternatives to traditional technologies.