Sensor Fusion Drives Vehicle Autonomy Forward (Download)

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As vehicles become increasingly autonomous, engineers are developing advanced driver-assistance system (ADAS) technology to implement functions such as collision avoidance, lane-departure warning, and blind-spot detection. Many ADAS functions have made use of cameras. However, cameras can perform poorly in rain, snow, and fog, resulting in the increasing adoption of radar, which works well in unfavorable weather. In addition, while a camera excels at recognizing object details in ideal conditions, radar can more accurately measure an object’s distance.