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Driver assistance systems to boost sensor tech growth

Posted: 20 Jun 2013 ?? ?Print Version ?Bookmark and Share

Keywords:ADAS? image sensor? LIDAR?

Frost & Sullivan has predicted that ultrasound and vision-based systems will be the most used advanced driver assistance system (ADAS) sensor technology in the medium to long term, assisting in parking, lane departure warning, and blind spot detection. Sensors are a crucial part of ADAS and the demand for enhanced safety features will fuel developments in sensor technology, noted the market analytics firm.

Image sensors in front facing, rear view, surround view and blind spot detection cameras are the primary sensing technologies used for lane departure warning and obstacle detection. While charge coupled device image sensors and image sensors capable of generating stereoscopic images will be used widely in automobiles, radio detection and ranging may be a disruptive technology to image sensors in blind spot detection.

"Light detection and ranging (LIDAR) sensors that determine the distance of obstacles also have various applications in ADAS, including obstacle detection, blind spot detection and parking assistance," said technical insights research analyst Emil Lazarski, Frost & Sullivan. "Their collaboration with other sensing technologies to provide a comprehensive solution will boost the adoption of LIDAR for ADAS."

Ultrasonic sensors that identify obstacles in the vicinity of the automobile through sound waves are mainly employed as smart parking assist sensors along with vision systems. They can also warn of the presence of a vehicle in an adjacent lane, and anticipate crashes so that associated systems like airbags and seat belts are deployed to improve passenger safety in the event of an accident.

The primary function of infrared imaging sensing is for night vision, although these solutions, initially used in defence applications, are expensive. In fact, the high costs of sensing systems in general have limited ADAS installations to the premium car segment. Thus, the development of multi-functional sensors is crucial to reduce overall costs.

"Collaboration among various entities of the value chain, including vehicle manufacturers, universities and suppliers, to build effective products will lower the cost of ADAS and encourage installations," said technical insights research analyst Sumit Kumar Pal, Frost & Sullivan. "Government regulations will also play an important role in enabling large-scale ADAS deployments."

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