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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ÀÚÀ²ÁÖÇàÀ» À§ÇÑ Ä«¸Þ¶ó-·¹ÀÌ´õ ¿ÜºÎ ÆĶó¹ÌÅÍ Ä¶¸®ºê·¹À̼Ç
¿µ¹®Á¦¸ñ(English Title) Camera-Radar Extrinsic Calibration for Autonomous Driving
ÀúÀÚ(Author) Muhammad Ishfaq Hussain   Muhammad Aasim Rafique   Hyeonsoo Jang   Moongu Jeon  
¿ø¹®¼ö·Ïó(Citation) VOL 48 NO. 02 PP. 0909 ~ 0911 (2021. 12)
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(Korean Abstract)
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(English Abstract)
For robotics and autonomous driving, accurate perception is very crucial for safety and security. The tasks of robotics and autonomous driving come in mission-critical tasks. Such applications expect timely and accurate object detection as a desideratum. For a safer trajectory towards critical systems, depending on more than one sensor is recommended. Humans rely upon multiple senses to perform a certain action, and as an inspiration, an autonomous robot may require multiple sensors for the entire perception in varying environmental conditions. In such a situation, a cheaper and robust sensor can be joined to attain the information synchronously. Problems occur while defining a correspondence that implicitly depends on the transformation between different coordinate systems. This transformation is part of the extrinsic calibration between the sensors. This study will present a simple and efficient way to find the extrinsic calibration between radar and a camera. We have tested and implemented this approach on our autonomous vehicle.
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