Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
ÀÚÀ²ÁÖÇàÀ» À§ÇÑ Ä«¸Þ¶ó-·¹ÀÌ´õ ¿ÜºÎ ÆĶó¹ÌÅÍ Ä¶¸®ºê·¹ÀÌ¼Ç |
¿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) |
Çѱ۳»¿ë (Korean Abstract) |
|
¿µ¹®³»¿ë (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. |
Å°¿öµå(Keyword) |
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|