李云伍, 徐俊杰, 刘得雄, 等. 基于改进空洞卷积神经网络的丘陵山区田间道路场景识别[J]. 农业工程学报, 2019, 35(7): 150-159.
WANG G J, WU J, HE R, et al. Speed and Accuracy Tradeoff for LiDAR Data Based Road Boundary Detection[J]. IEEE/CAA Journal of Automatica Sinica, 2021, 8(6): 1210-1220. doi: 10.1109/JAS.2020.1003414
LU X W, AI Y F, TIAN B. Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck[J]. Sensors, 2020, 20(4): 1121. doi: 10.3390/s20041121
王小娟, 李云伍, 刘得雄, 等. 基于机器视觉的丘陵山区田间道路虚拟中线提取方法[J]. 西南大学学报(自然科学版), 2018, 40(4): 162-169.
孟庆宽, 杨晓霞, 张漫, 等. 基于语义分割的非结构化田间道路场景识别[J]. 农业工程学报, 2021, 37(22): 152-160. doi: 10.11975/j.issn.1002-6819.2021.22.017
杜小强, 李卓林, 马锃宏, 等. 基于空间注意力和可变形卷积的无人机田间障碍物检测[J]. 农业机械学报, 2023, 54(2): 275-283.
XU F L, ZHAO H K, HU F Y, et al. A Road Segmentation Model Based on Mixture of the Convolutional Neural Network and the Transformer Network[J]. Computer Modeling in Engineering & Sciences, 2023, 135(2): 1559-1570.
ZHANG Y H, XIA G H, WANG J G, et al. A Multiple Feature Fully Convolutional Network for Road Extraction from High-Resolution Remote Sensing Image Over Mountainous Areas[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(10): 1600-1604. doi: 10.1109/LGRS.2019.2905350
WANG H, CHEN Y Y, CAI Y F, et al. SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(11): 21405-21417. doi: 10.1109/TITS.2022.3177615
FIRKAT E, ZHANG J L, WU D F, et al. ARDformer: Agroforestry Road Detection for Autonomous Driving Using Hierarchical Transformer[J]. Sensors, 2022, 22(13): 4696. doi: 10.3390/s22134696
LIU B S, LV Y B, GU Y, et al. Implementation of a Lightweight Semantic Segmentation Algorithm in Road Obstacle Detection[J]. Sensors, 2020, 20(24): 7089. doi: 10.3390/s20247089
TIAN F Y, HU G Z, YU S F, et al. An Efficient Multi-Task Convolutional Neural Network for Dairy Farm Object Detection and Segmentation[J]. Computers and Electronics in Agriculture, 2023, 211: 108000. doi: 10.1016/j.compag.2023.108000
YANG Z, OUYANG L, ZHANG Z G, et al. Visual Navigation Path Extraction of Orchard Hard Pavement Based on Scanning Method and Neural Network[J]. Computers and Electronics in Agriculture, 2022, 197: 106964. doi: 10.1016/j.compag.2022.106964
SHANG G G, LIU G, ZHU P, et al. A Deep Residual U-Type Network for Semantic Segmentation of Orchard Environments[J]. Applied Sciences, 2021, 11(1): 322.
LIN N C, ZHAO W F, LIANG S H, et al. Real-Time Segmentation of Unstructured Environments by Combining Domain Generalization and Attention Mechanisms[J]. Sensors, 2023, 23(13): 6008. doi: 10.3390/s23136008
BAHETI B, INNANI S, GAJRE S, et al. Semantic Scene Segmentation in Unstructured Environment with Modified DeepLabV3+[J]. Pattern Recognition Letters, 2020, 138: 223-229. doi: 10.1016/j.patrec.2020.07.029
CHEN L C, ZHU Y K, PAPANDREOU G, et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation[C] //European Conference on Computer Vision(ECCV 2018). Munich, Germany. Cham: Springer, 2018: 833-851.
HAN K, WANG Y H, XU C, et al. GhostNets on Heterogeneous Devices via Cheap Operations[J]. International Journal of Computer Vision, 2022, 130(4): 1050-1069. doi: 10.1007/s11263-022-01575-y
HOWARD A, SANDLER M, CHEN B, et al. Searching for MobileNetV3[C] //2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul, Korea (South). IEEE, 2019: 1314-1324.
HU J, SHEN L, SUN G. Squeeze-and-Excitation Networks[C] //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, USA. IEEE, 2018: 7132-7141.
SHARMA S, BALL J E, TANG B, et al. Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving[J]. Sensors, 2019, 19(11): 2577. doi: 10.3390/s19112577
RADOSAVOVIC I, KOSARAJU R P, GIRSHICK R, et al. Designing Network Design Spaces[C] //2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, WA, USA. IEEE, 2020: 10425-10433.
HE K M, ZHANG X Y, REN S Q, et al. Deep Residual Learning for Image Recognition[C] //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA. IEEE, 2016: 770-778.
CHEN L C, PAPANDREOU G, SCHROFF F, et al. Rethinking Atrous Convolution for Semantic Image Segmentation[EB/OL]. (2017-12-05)[2023-08-15]. http://arxiv.org/abs/1706.05587.
ZHAO H S, SHI J P, QI X J, et al. Pyramid Scene Parsing Network[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, HI, USA. IEEE, 2017: 6230-6239.