Sat2graph: Road graph extraction through graph-tensor encoding
Inferring road graphs from satellite imagery is a challenging computer vision task. Prior
solutions fall into two categories:(1) pixel-wise segmentation-based approaches, which …
solutions fall into two categories:(1) pixel-wise segmentation-based approaches, which …
Insightmapper: A closer look at inner-instance information for vectorized high-definition mapping
Vectorized high-definition (HD) maps contain detailed information about surrounding road
elements, which are crucial for various downstream tasks in modern autonomous driving …
elements, which are crucial for various downstream tasks in modern autonomous driving …
Lane-level street map extraction from aerial imagery
S He, H Balakrishnan - … of the IEEE/CVF Winter Conference …, 2022 - openaccess.thecvf.com
Digital maps with lane-level details are the foundation of many applications. However,
creating and maintaining digital maps especially maps with lane-level details, are labor …
creating and maintaining digital maps especially maps with lane-level details, are labor …
InsMapper: Exploring inner-instance information for vectorized HD mapping
Vectorized high-definition (HD) maps contain detailed information about surrounding road
elements, which are crucial for various downstream tasks in modern autonomous vehicles …
elements, which are crucial for various downstream tasks in modern autonomous vehicles …
Large-scale vehicle trajectory reconstruction with camera sensing network
Vehicle trajectories provide essential information to understand the urban mobility and
benefit a wide range of urban applications. State-of-the-art solutions for vehicle sensing may …
benefit a wide range of urban applications. State-of-the-art solutions for vehicle sensing may …
Network-less trajectory imputation
The ability to collect large numbers of trajectory data through GPS-enabled devices have
enabled a myriad of very important applications that are widely used on a daily basis. This …
enabled a myriad of very important applications that are widely used on a daily basis. This …
Let's speak trajectories
Trajectory-based applications have acquired significant attention over the past decade with
the rising size of trajectory data generated by users. However, building trajectory-based …
the rising size of trajectory data generated by users. However, building trajectory-based …
An ensemble Wasserstein generative adversarial network method for road extraction from high resolution remote sensing images in rural areas
C Yang, Z Wang - Ieee Access, 2020 - ieeexplore.ieee.org
Road extraction from high resolution remote sensing (HR-RS) images is an important yet
challenging computer vision task. In this study, we propose an ensemble Wasserstein …
challenging computer vision task. In this study, we propose an ensemble Wasserstein …
Doing in one go: delivery time inference based on couriers' trajectories
The rapid development of e-commerce requires efficient and reliable logistics services.
Nowadays, couriers are still the main solution to address the" last mile" problem in logistics …
Nowadays, couriers are still the main solution to address the" last mile" problem in logistics …
Topology-Guided Road Graph Extraction From Remote Sensing Images
Road maps are widely used in traffic management, vehicle navigation, urban planning, and
other fields. However, automatically extracting road graphs from remote sensing images is …
other fields. However, automatically extracting road graphs from remote sensing images is …