- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Caching and Content Delivery
- Blockchain Technology Applications and Security
- Vehicular Ad Hoc Networks (VANETs)
- Automated Road and Building Extraction
- Traffic Prediction and Management Techniques
- Cryptography and Data Security
Hunan University
2021-2024
Computation offloading is considered as a promising method to improve computation performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry applications Mobile Edge Computing (MEC) servers. However, due the dynamic environment Transportation Systems, it's challenging develop an effective scheme that ensures stable operation system. Furthermore, only tasks MEC servers or parked vehicles, how take full advantage resources in random traffic flow main challenge. In this...
In the foreseeable Intelligent Transportation System, Connected Vehicles (ICVs) will play an important role in improving travel efficiency and safety. However, it is challenging for ICVs to support resource-hungry autonomous driving applications due limitation of hardware computing power. Fortunately, emergence Multi-access Edge Computing helps overcome this effectively. This paper addresses vehicle-to-edge server computation offloading conundrum by optimizing trade-offs partial resource...
High-definition (HD) maps can provide an accurate representation of the road ahead and information on surrounding environment, which is key to success autonomous driving. Open-pit mine a typical unstructured environment with dynamic varying terrain, posing huge challenges environmental mapping. This study proposes HD map construction update system for driving in open-pit mines. First, we analyze elements characteristics According types, uses, frequency elements, establish multimodal...
When the computation capacity of connected vehicles cannot meet ultra-low latency requirement autonomous driving applications, emergency Multi-access Edge Computing (MEC) solves this problem effectively, where can offload its tasks to edge servers reduce latency. In paper, we investigate task splitting and resource allocation strategy considering mobility based on MEC enabled vehicular network minimize system delay. Within computing framework alternating direction method multipliers (ADMM),...