Registered
APPARATUS FOR RECOGNIZING OBJECT OF AUTOMATED DRIVING SYSTEM USING ERROR REMOVAL BASED ON OBJECT CLASSIFICATION AND METHOD USING THE SAME
- Inventors
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Lee Dong-Jin, Dooseop Choi, Seung Jun Han, Yongwoo Jo, Kang Jungyu, Min Kyoung-Wook, Taeghyun An, Jeong Dan Choi, Kang Do Wook, Song Yoo-Seung, Sung Kyung Bok, Jae-Hyuck Park, Jooyoung Kim
- Application No.
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17380663 (2021.07.20)
- Publication No.
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20220164609 (2022.05.26)
- Registration No.
- 11507783 (2022.11.22)
- Country
- UNITED STATES
- Project Code
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20HS5500, Development of standards SW platform based autonomous driving technology to solve social problems of mobility and safety for public transport marginal,
Min Kyoung-Wook
- Abstract
- Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.
- KSP Keywords
- Automated driving, Autonomous vehicle, Classification models, Data sets, Driving system, Image data, LiDAR sensors, Multi-object, Object Classification, Object recognition, Point clouds, Recognition method, deep learning(DL), model-based, training data
- Family
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