Measurement & Instrumentation


Advancements in Sensors for Autonomous Vehicles or Systems

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Published: 1 Dec 2017

This Sensor TOE explores innovations and advancements in LiDAR sensors, radar sensors, image sensors, and cameras for autonomous vehicles or autonomous systems. Sensor TechVision Opportunity Engine (TOE) captures global sensor-related innovations and developments on a weekly basis. Innovations are directed toward developing smart and intelligent sensors with functionalities beyond sensing. Research focus areas include: low power sensors (energy harvesting), industrial automation sensors (M2M, vision sensor), ubiquitous sensor (WSN, sensor fusion), smart sensors (wearables, quantified self), high sensitivity and smaller size (MEMS, nanosensors), and improved security (CBRNE, terahertz). The need for low power, smaller, lighter sensors with enhanced performance attributes and minimal false alarms is driving innovations in the sensors space. The Sensors and Instrumentation cluster covers innovations pertaining to technologies such as wireless sensors and networks, energy harvesting, haptics and touch, MEMS and nanosensors, Terahertz, ubiquitous/smart sensors, CBRNE, quantified-self, sensor fusion, M2M communications, and drones. Keywords: Lidar, CMOS image sensor, cameras, synthetic aperture radar, self-driving vehicles, autonomous vehicles, ADAS

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