Visual slam: What are the current trends and what to expect?
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and mapping (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Edge artificial intelligence for 6G: Vision, enabling technologies, and applications
KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …
wireless networks. It has been envisioned that 6G will be transformative and will …
Digital twin enhanced federated reinforcement learning with lightweight knowledge distillation in mobile networks
The high-speed mobile networks offer great potentials to many future intelligent applications,
such as autonomous vehicles in smart transportation systems. Such networks provide the …
such as autonomous vehicles in smart transportation systems. Such networks provide the …
Edge-SLAM: Edge-assisted visual simultaneous localization and mapping
Localization in urban environments is becoming increasingly important and used in tools
such as ARCore, ARKit and others. One popular mechanism to achieve accurate indoor …
such as ARCore, ARKit and others. One popular mechanism to achieve accurate indoor …
Ddl: Empowering delivery drones with large-scale urban sensing capability
Delivery drones provide a promising sensing platform for smart cities thanks to their city-
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
Edgeduet: Tiling small object detection for edge assisted autonomous mobile vision
Accurate, real-time object detection on resource-constrained devices enables autonomous
mobile vision applications such as traffic surveillance, situational awareness, and safety …
mobile vision applications such as traffic surveillance, situational awareness, and safety …
Edge robotics: Edge-computing-accelerated multirobot simultaneous localization and mapping
With the wide penetration of smart robots in multifarious fields, the simultaneous localization
and mapping (SLAM) technique in robotics has attracted growing attention in the community …
and mapping (SLAM) technique in robotics has attracted growing attention in the community …
A survey on approximate edge AI for energy efficient autonomous driving services
Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
{SwarmMap}: Scaling up real-time collaborative visual {SLAM} at the edge
The Edge-based Multi-agent visual SLAM plays a key role in emerging mobile applications
such as search-and-rescue, inventory automation, and drone grouping. This algorithm relies …
such as search-and-rescue, inventory automation, and drone grouping. This algorithm relies …