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Mitsubishi Electric Develops Object-recognition Camera Technology Using Proprietary AI for Coming Mirrorless Cars

Instant recognition of distant objects will enhance driving safety

Research & Development
Automotive Equipment

FOR IMMEDIATE RELEASE No. 3161

TOKYO, January 17, 2018 - Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed what is believed to be the industry's highest performing automotive camera technology that detects various object types at distances of up to about 100 meters, which will enable drivers to receive advanced warning for enhanced driving safety in coming mirrorless cars. The solution, which is based on Mitsubishi Electric's proprietary Maisart-brand artificial intelligence (AI) technology, is expected to help prevent accidents, especially when drivers change lanes. Mirrorless cars that replace rearview and side mirrors with camera-monitoring systems were approved for use in Europe and Japan in 2016, and the first commercial mirrorless cars are expected to be launched in Japan as early as next year.

Camera-monitoring system for mirrorless car

Key Features

1)Instantly detects distant objects up to about 100 meters away
- Mitsubishi Electric's proposed technology employs a new computational visual-cognition model that mimics human visual behavior to rapidly focus on appropriate regions within the field of view.
- Compared to conventional camera-based systems, the proposed technology, which is believed to achieve the industry's highest performance, can significantly extend the maximum distance of object detection from about 30 meters to 100 meters, and can also improve object detection accuracy from 14 percent to 81 percent.
2)Real-time object recognition using Mitsubishi Electric's proprietary Maisart AI technology
- The computational visual-cognition model's relatively simple algorithms free system resources for real-time performance, even in on-board systems.
- Mitsubishi Electric's Maisart AI technology, which realizes compact AI for low-cost devices, can distinguish between object types such as pedestrians, cars and motorcycles.