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A camera containing two or more image sensors is referred to as a stereo camera. This gives the camera the ability to mimic human binocular vision and, as a result, discern depth.
Binocular stereopsis, often known as stereo vision, is the capacity to calculate an item’s distance purely based on the relative locations of the object in the two eyes. Both sensory and motor skills are necessary.
The Global Stereo Vision Camera market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Hitachi Astemo Develops Prototype 360-Degree Stereo Vision with Multi-Camera 3D Sensing.A 360-degree stereo vision system for automated vehicles that travel on conventional roadways has been created by Hitachi Astemo, Ltd. The all-around sensing system is based on multi-camera 3D sensing and is both highly accurate and high resolution.
The majority of the automatic driving technologies in use today are restricted to highway driving. Automated driving systems must reliably recognise the full road environment surrounding the car, including a complex mix of items like pedestrians and bicycles, in order to be deployed on public roads.
Utilising multi-camera 3D sensing that permits distance measurement with the stereo camera technology, stereo camera technology is used to create a prototype of the 360-degree stereo vision system.
The camera layout has been made more flexible to use a combination of about 10 cameras with different angles of view, including non-parallel cameras to provide stereoscopic 3D vision, in place of the conventional module, which consisted of two cameras with the same view angle and being nearly parallel to one another.
The technology achieves 360-degree stereo vision with a cost benefit, excellent accuracy, and resolution by merging multi-camera 3D sensing into a single in-vehicle camera system.
The technology can identify things like the distance of a vehicle travelling in the opposite lane or a two-wheeled vehicle sliding through a queue of automobiles from behind in a traffic congestion by producing highly accurate distance information in stereo and all around the vehicle.
In order to regulate the vehicle and prevent crashes and entanglement at junctions, it can determine the relative speed and direction of movement.
The recognition function includes traffic signals, road signs, road edges, and open spaces for driving in addition to basic object recognition of things like cars, motorcycles, pedestrians, and traffic lanes. It also includes turn signals, red lights, and brake lights to predict the behaviour of other vehicles.
