[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 …
Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications
It is vital that autonomous vehicles acquire accurate and real-time information about objects
in their vicinity, which fully guarantees the safety of the passengers and vehicle in various …
in their vicinity, which fully guarantees the safety of the passengers and vehicle in various …
Deep learning-based perception systems for autonomous driving: A comprehensive survey
With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
Application of laser systems for detection and ranging in the modern road transportation and maritime sector
The development of light detection and ranging (lidar) technology began in the 1960s,
following the invention of the laser, which represents the central component of this system …
following the invention of the laser, which represents the central component of this system …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
A survey on ground segmentation methods for automotive LiDAR sensors
In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …
roads. However, fully autonomous cars will require robust perception systems to safely …
Robust detection and tracking method for moving object based on radar and camera data fusion
J Bai, S Li, L Huang, H Chen - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Obtaining the accurate and real-time state of surrounding objects is essential for automated
vehicle planning and decision-making to ensure safe driving. In complex traffic scenarios …
vehicle planning and decision-making to ensure safe driving. In complex traffic scenarios …
Cascaded multi-task road extraction network for road surface, centerline, and edge extraction
Road extraction from very high-resolution (VHR) remote sensing imagery remains a huge
challenge, due to the shadows and occlusions of trees and buildings. Such complex …
challenge, due to the shadows and occlusions of trees and buildings. Such complex …
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 …