Apple Hires People to Walk with 360-Degree Cameras to Map Cities
Apple is paying individuals to carry backpacks equipped with 360-degree cameras and sensors to walk and map urban areas worldwide, focusing on streets, paths, and remote locations that vehicles cannot access.
The project has been rolled out in several locations across Europe, including Madrid, Catalonia, and medieval old towns, to update high-resolution map data for pedestrian areas, parks, and sidewalks, supporting Apple Maps' Look Around feature and augmented reality navigation.
The backpack system weighs about 18 kg and integrates multiple cameras and LiDAR to capture textures, signs, and elevation changes. Apple has confirmed that this initiative aims to enhance map accuracy in areas inaccessible to vehicles while adhering to data privacy regulations, with faces and license plates being blurred.
Google has previously used similar walking mapping equipment. In Europe, the narrow streets and historical layouts of old towns limit vehicle mapping, making walking a necessary supplement. The related data may also be used for AI training.
The market discussions on the accuracy of European maps coincide with the two tech giants accelerating ground data collection.
From a market mechanism perspective, the investment in walking mapping boosts the demand for high-precision maps and physical AI data, directing funds towards sensor hardware and data collection services; this event is driven by competition in map accuracy, benefiting tech platforms with pedestrian-level data while traditional vehicle mapping solutions face pressure in complex urban areas.
Source: Public Information
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Apple has been testing the backpack mapping system since 2019 and has recently deployed it on a large scale in Europe to cover historical districts and pedestrian areas that vehicles cannot reach, indicating a strategic shift from road-level to pedestrian-level map data.
On the capital front, the company is investing resources in collecting real ground data by hiring mapping personnel and deploying heavy sensor backpacks, motivated by the desire to enhance the accuracy of Look Around and future physical AI applications, with phased walking data collection in multiple European cities.
Similar cases can be seen in Google's early use of the Trekker backpack for pedestrian areas and automotive manufacturers' investments in high-precision maps; the current mapping landscape is transitioning from 2D navigation to 3D physical world modeling, making walking data a key differentiator.
This essentially represents a technological substitution: vehicle mapping is being supplemented or even replaced by pedestrian-level multi-sensor backpacks in complex urban areas, with the mechanism being the use of wearable devices to overcome physical accessibility limitations, providing more complete real ground data for physical AI.
ABAB News · Cognitive Laws
Where vehicles cannot go, backpacks begin to redefine maps
The accuracy of medieval old towns ultimately relies on walking
The eve of physical AI often starts with heavier sensor backpacks