Mobileye gives a glimpse of its future technology

January 12, 2021 // By Christoph Hammerschmidt
Mobileye gives a glimpse of its sensor technology
At CES - which is only taking place virtually this year - Mobileye is showing which technologies they believe are necessary for autonomous driving and how they interact.

Mobileye's strategy for implementing autonomous driving is based on three pillars, explained the company's CEO, Amnon Shashua: the centimetre-accurate dynamic mapping of roads and places - in Mobileye's terminology called "Road Experience Management" (REM) -, the rule-based Responsibility-Sensitive Model (RSS) for compliance with traffic rules, and finally the underlying technology, which itself consists of two separate and redundant subsystems. The latter use Mobileye's camera, lidar and radar sensor technology for environment detection.

In Mobileye’s approach, the camera serves as the primary sensor. The reason: this technology is available comparatively inexpensively, and Shashua is convinced that a technical solution for autonomous driving must be economically attractive in order to find corresponding acceptance and enable the company to grow. According to Shashua, the redundancy enabled by the other two sensor technologies should allow for three times the decision-making reliability in traffic than human drivers.

The Mobileye boss also offered a glimpse into the future development of its technology: based on powerful semiconductors from the group's parent company Intel, Mobileye has developed a software-based radar technology that offers image capture with 2304 channels, a dynamic range of 100 decibels and a side-lobe level of 40dBc. With these parameters, this radar technology is expected to meet the required depth of detection needed for Autonomous Driving approval. With fully digital and state-of-the-art signal processing, multiple acquisition methods, raw data utilisation and multi-image tracking, Mobileye aims to achieve a paradigm shift in AV system design, enabling a significant leap in performance.

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