Vehicle positioning refers to the use of technology to determine the exact location of a vehicle within a specific coordinate system, such as latitude and longitude. Acting as a vehicle's "digital footprint", it serves as the foundational technology for key functions like navigation, fleet dispatching, anti-theft tracking, and autonomous driving.
At present, the primary core technology is the Global Navigation Satellite System (GNSS), which includes the US-developed GPS and China's BeiDou. By receiving signals from at least four satellites, the system computes the vehicle's precise location via trilateration.
Mainstream Trend: Multi-Constellation Fusion and High Precision. Relying solely on GPS is fast becoming a thing of the past. Modern in-car telematics units widely adopt BeiDou + GPS dual-mode positioning, or even multi-system compatibility, to significantly improve signal availability and accuracy. For instance, services from Qianxun Spatial Intelligence offer real-time kinematic (RTK) positioning with accuracy down to 2 centimetres. By late 2025, the world's first mass-produced passenger car equipped with a standalone BeiDou positioning system rolled off the assembly line in China, representing a major milestone in technological self-reliance and security.
A complete vehicle tracking and positioning ecosystem typically comprises three components: on-board hardware, telecommunication networks, and backend platforms. The in-vehicle unit captures satellite signals to determine location data, which is then transmitted alongside parameters like vehicle speed to the management server or the owner's mobile app via 4G/5G networks. This facilitates critical operations such as fleet management, logistics coordination, and vehicle recovery.
Satellite positioning is not foolproof, as signals degrade or drop out completely inside tunnels and basement car parks. To counter this, modern systems integrate several complementary positioning technologies:
Dead Reckoning (DR): Utilizing gyroscopes and accelerometers, the system computes changes in speed and heading once satellite reception is lost, ensuring seamless positioning continuity across temporary blind spots.
Vision and Map Matching: In-car cameras detect road features such as lane markings and match them against high-definition map data to correct satellite positioning drift.
V2X and Roadside Units (RSU): In designated smart zones, vehicles communicate with roadside infrastructure, leveraging time-of-flight signal measurements to assist with localisation.
Car Finder Feature: Designed to solve the hassle of locating parked cars in massive multi-storey or underground car parks, this system utilizes indoor positioning technologies like Bluetooth AoA to deliver walking navigation with up to 0.3-metre accuracy directly on the driver's smartphone.