Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

[HTML][HTML] Pavement crack detection with hybrid-window attentive vision transformers

S Xiao, K Shang, K Lin, Q Wu, H Gu, Z Zhang - International Journal of …, 2023 - Elsevier
Pavement, as a kind of common public transit infrastructure, plays an important part in the
daily passing and transportation-associated activities. The good conditions and smooth …

Segment anything, from space?

S Ren, F Luzi, S Lahrichi, K Kassaw… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …

[HTML][HTML] SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning

H Chen, Z Li, J Wu, W Xiong, C Du - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Road extraction from remote sensing imagery is a popular and frontier research focus, since
road information plays an essential role in application fields, such as urban management …

[HTML][HTML] 3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion

W Liu, Y Zang, Z Xiong, X Bian, C Wen, X Lu… - International Journal of …, 2023 - Elsevier
The high-precision generation of 3D building models is a controversial research topic in the
field of smart cities. However, due to the limitations of single-source data, existing methods …

[HTML][HTML] GA-Net: A geometry prior assisted neural network for road extraction

X Chen, Q Sun, W Guo, C Qiu, A Yu - International Journal of Applied Earth …, 2022 - Elsevier
With geospatial intelligence research developing rapidly, automatic road extraction is
becoming a fundamental and challenging task. Due to the special geometric structure and …

[HTML][HTML] DPENet: Dual-path extraction network based on CNN and transformer for accurate building and road extraction

Z Chen, Y Luo, J Wang, J Li, C Wang, D Li - International Journal of Applied …, 2023 - Elsevier
The acceleration of urbanization and the increasing demand for precise city planning have
made the extraction of buildings and roads from remote sensing images crucial. Deep …

SW-GAN: Road extraction from remote sensing imagery using semi-weakly supervised adversarial learning

H Chen, S Peng, C Du, J Li, S Wu - Remote Sensing, 2022 - mdpi.com
Road networks play a fundamental role in our daily life. It is of importance to extract the road
structure in a timely and precise manner with the rapid evolution of urban road structure …

RemainNet: explore road extraction from remote sensing image using mask image modeling

Z Li, H Chen, N Jing, J Li - Remote Sensing, 2023 - mdpi.com
Road extraction from a remote sensing image is a research hotspot due to its broad range of
applications. Despite recent advancements, achieving precise road extraction remains …

RoadFormer: road extraction using a swin transformer combined with a spatial and channel separable convolution

X Liu, Z Wang, J Wan, J Zhang, Y Xi, R Liu, Q Miao - Remote Sensing, 2023 - mdpi.com
The accurate detection and extraction of roads using remote sensing technology are crucial
to the development of the transportation industry and intelligent perception tasks. Recently …