Ensuring ADAS safety with multi-sensor fusion

June 05, 2019 // By Thomas Schneid, Infineon, and Marie-Sophie Masselot, Leti Tech Research Institute
Ensuring ADAS safety with multi-sensor fusion
Sensor fusion is a key task at the very heart of autonomous driving. This article describes the SigmaFusion approach, developed by the LETI Technology Research Institute.

If you’ve driven around the Metro Phoenix area of the United States recently you may have shared the streets and freeways with a driverless vehicle. Jaguar’s I-PACE forms the base vehicle for Waymo’s premium electric self-driving vehicles, which, if it weren’t for the exterior branding, are recognisable by their ‘ski-box’ sized adornment found on the roof. The availability of this, and other, self-driving services is in response to a demand for car sharing and a falling interest in being a car owner, especially for those whose driving is limited to local commutes and grocery shopping. It also aims to provide a cost-effective transport solution for the 3 million 40+ aged blind or low vision Americans, as well as for senior citizens living in car dependent communities [Reference 1].

Advanced Driver-Assistance Systems (ADAS) have become a standard feature of many modern vehicles, helping the driver to handle certain traffic situations. Many Automotive OEMs and their suppliers are currently focusing on Level 3 automation where ‘hands-off’ and ‘eyes-off’ are possible but the driver has to intervene under certain conditions. Market disrupters looking to offer driverless car-sharing services, such as Waymo, are already playing in the Level 4 space.

Reviewing the constituent parts of automation

When broken down into its constituent parts, the autonomous driving platform is essentially made up of three blocks; sensing, computation and actuation. All current autonomous driving solutions combine a significant number of different sensing solutions to determine the environment around them. This includes short-range sensing such as ultrasound and short-range radar as well as long-range radar, LiDAR, and 360° cameras.

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