과제정보
This work was supported by the Technology Innovation Program (P0013847, 10%, Development of automatic steering-based accident avoidance system for electric-driven port yard tractors operating at low speed (less than 30 km/h)) funded By the Ministry of Trade, Industry & Energy(MOTIE, Korea) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2019R1A2C2005099, 10%), Ministry of Education (NRF-2018R1A6A1A03025109, 10%), and partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2021-0-00944, Metamorphic approach of unstructured validation/verification for analyzing binary code, 70%)
참고문헌
- J. Giacalone, L. Bourgeois, and A. Ancora, "Challenges in aggregation of heterogeneous sensors for Autonomous Driving Systems," IEEE Sensors Applications Symposium (SAS), pp. 1-5, 2019. doi: 10.1109/SAS.2019.8706005.
- L. Xiaoming, Q Tian, C Wanchun, and Y. Xingliang, "Real-time distance measurement using a modified camera," IEEE Sensors Applications Symposium (SAS), pp. 54-58, 2010. doi: 10.1109/SAS.2010.5439423.
- L. Zhaohua and G. Bochao, "Radar Sensors in Automatic Driving Cars," 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT), pp. 239-242, 2020. doi: 10.1109/ICECTT50890.2020.00061.
- A. U. Kulkarni, A. M. Potdar, S. Hegde, and V. P. Baligar, "RADAR based Object Detector using Ultrasonic Sensor," 1st International Conference on Advances in Information Technology (ICAIT), pp. 204-209, 2019. doi: 10.1109/ICAIT47043.2019.8987259.
- S. Lee, D. Lee, P. Choi, and D. Park, "Accuracy-Power Controllable LiDAR Sensor System with 3d Object Recognition for Autonomous Vehicle," Sensors, vol. 20, no. 19, 2020.
- R. O. Chavez-Garcia and O. Aycard, "Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking," in IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 2, pp. 525-534, Feb. 2016. doi:10.1109/TITS.2015.2479925.
- V. Venugopal and S. Kannan, "Accelerating Real-Time LiDAR Data Processing using GPUs," IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1168-1171, 2013. doi: 10.1109/MWSCAS.2013.6674861.
- NXP. Layerscape LS1028A Family of Industrial Applications Processors [Internet]. Available: https://www.nxp.com/docs/en/fact-sheet/ls1028afs.pdf.
- J. Dybedal, A. Aalerud, and G. Hovland, "Embedded Processing and Compression of 3d Sensor Data for Large Scale Industrial Environments," Sensors, vol. 19, no. 3, 2019.
- K. M. Lee, T. H. Song, S. H. Yoon, K. H. Kwon, and J. W. Jeon, "OpenMP Parallel Programming using Dual-Core Embedded System," 11th International Conference on Control, Automation and Systems, pp. 762-766, 2011.
- S. Zhou, M. Xie, Y. Jin, F. Miao, and C. Ding, "An End-to-end Multi-task Object Detection Using Embedded GPU in Autonomous Driving," 22nd International Symposium on Quality Electronic Design (ISQED), pp. 122-128, 2021. doi: 10.1109/ISQED51717.2021.9424308.