All Issue

2024 Vol.16, Issue 1 Preview Page
31 March 2024. pp. 29-34
Zhao, Xiangmo, et al., "Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications," IEEE Sensors Journal 20.9 (2020): 4901~4913. 10.1109/JSEN.2020.2966034
Arnold, Eduardo, et al., "A survey on 3d object detection methods for autonomous driving applications," IEEE Transactions on Intelligent Transportation Systems 20.10 (2019): 3782~3795. 10.1109/TITS.2019.2892405
Min, Haigen, et al., "Kinematic and dynamic vehicle model-assisted global positioning method for autonomous vehicles with low-cost GPS/camera/in-vehicle sensors," Sensors 19.24 (2019): 5430. 10.3390/s1924543031835407PMC6960592
Zhang, Li, et al., "Hierarchical Road Topology Learning for Urban Mapless Driving," 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. 10.1109/IROS47612.2022.9981820PMC9181249
Toan, Nguyen Duc, and Kim Gon Woo, "Mapless navigation with deep reinforcement learning based on the convolutional proximal policy optimization network," 2021 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2021. 10.1109/BigComp51126.2021.00063
Ronneberger, Olaf, Philipp Fischer, and Thomas Brox, "U-net: Convolutional networks for biomedical image segmentation," Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer International Publishing, 2015.
Badrinarayanan, Vijay, Alex Kendall, and Roberto Cipolla, "Segnet: A deep convolutional encoder-decoder architecture for image segmentation," IEEE transactions on pattern analysis and machine intelligence 39.12 (2017): 2481~2495. 10.1109/TPAMI.2016.264461528060704
Zhang, Wenhui, and Tejas Mahale, "End to end video segmentation for driving: Lane detection for autonomous car," arXiv preprint arXiv:1812.05914 (2018).
Chiang, Wei-Lin, et al., "Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks," Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. 2019. 10.1145/3292500.3330925
Dosovitskiy, Alexey, et al., "CARLA: An open urban driving simulator," Conference on robot learning. PMLR, 2017.
Ko, Yeongmin, et al., "Key points estimation and point instance segmentation approach for lane detection," IEEE Transactions on Intelligent Transportation Systems 23.7 (2021): 8949~8958. 10.1109/TITS.2021.3088488
Qiu, Qibo, et al., "PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer," arXiv preprint arXiv:2209.06994 (2022). 10.1109/ICRA48891.2023.10161356
Liu, Lizhe, et al., "Condlanenet: a top-to-down lane detection framework based on conditional convolution," Proceedings of the IEEE/CVF international conference on computer vision. 2021. 10.1109/ICCV48922.2021.00375
X. Pan, J. Shi, P. Luo, X. Wang, and X. Tang, "Spatial as deep: Spatial cnn for traffic scene understanding," in AAAI Conference on Artificial Intelligence, vol. 32, no. 1, 2018. 10.1609/aaai.v32i1.12301
Chen, Li, et al., "Persformer: 3d lane detection via perspective transformer and the openlane benchmark," Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXVIII. Cham: Springer Nature Switzerland, 2022. 10.1007/978-3-031-19839-7_32
Luo, Zhengxiong, et al., "Rethinking the heatmap regression for bottom-up human pose estimation," Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021. 10.1109/CVPR46437.2021.01306
Chen, Yu, et al., "Adversarial posenet: A structure-aware convolutional network for human pose estimation," Proceedings of the IEEE international conference on computer vision. 2017. 10.1109/ICCV.2017.137
  • Publisher :Korean Auto-vehicle Safety Association
  • Publisher(Ko) :한국자동차안전학회
  • Journal Title :Journal of Auto-vehicle Safety Association
  • Journal Title(Ko) :자동차안전학회지
  • Volume : 16
  • No :1
  • Pages :29-34
  • Received Date : 2023-09-19
  • Revised Date : 2024-02-21
  • Accepted Date : 2024-02-22