Towards long lifetime battery: AI-based manufacturing and management
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …
only contribute to decarbonization such as transportation electrification, smart grid, but also …
[HTML][HTML] Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
MetaScenario: A framework for driving scenario data description, storage and indexing
Autonomous driving related researches require the analysis and usage of massive amounts
of driving scenario data. Compared to raw data collected by sensors, scenario data provide …
of driving scenario data. Compared to raw data collected by sensors, scenario data provide …
Pavement cracks coupled with shadows: A new shadow-crack dataset and a shadow-removal-oriented crack detection approach
Automatic pavement crack detection is a critical task for maintaining the pavement stability
and driving safety. The task is challenging because the shadows on the pavement may have …
and driving safety. The task is challenging because the shadows on the pavement may have …
A parallel teacher for synthetic-to-real domain adaptation of traffic object detection
Large-scale synthetic traffic image datasets have been widely used to make compensate for
the insufficient data in real world. However, the mismatch in domain distribution between …
the insufficient data in real world. However, the mismatch in domain distribution between …
A real-time road boundary detection approach in surface mine based on meta random forest
Efficient and accurate road boundary detection is a fundamental building component of the
perception system for autonomous driving. Specially, the challenges for road boundary …
perception system for autonomous driving. Specially, the challenges for road boundary …
Radarverses in metaverses: A CPSI-based architecture for 6S radar systems in CPSS
Metaverses have caused significant changes in the industry and their academic foundation
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …
Tightly coupled integration of vector HD map, LiDAR, GNSS, and INS for precise vehicle navigation in GNSS-challenging environment
H Zhang, C Qian, W Li, B Li, H Liu - Geo-Spatial Information …, 2024 - Taylor & Francis
High-precision positioning and navigation are necessary for autonomous driving. GNSS
RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from …
RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from …
Parallel dispatching: An ACP-based high-speed railway intelligent dispatching system
The antiquated method of train dispatching relying solely on dispatchers' knowledge is
unable to meet the need for rapid response and effective solutions in emergency situations …
unable to meet the need for rapid response and effective solutions in emergency situations …
Coarse-to-refined road curb segmentation from MLS point clouds
This paper presents a coarse-to-refined method for segmenting road curbs from Mobile
Laser Scanning (MLS) point clouds, encompassing both organized and unorganized data …
Laser Scanning (MLS) point clouds, encompassing both organized and unorganized data …