Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …

Abstract Connected and Automated Vehicle (CAV) is a transformative technology that has
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …

Sensing data plays a pivotal role in connected and autonomous vehicles (CAVs), enabling
CAV to perceive surroundings. For example, malicious applications might tamper this life …

More and more Internet of Things (IoT) applications provide intelligent services, with the
development of artificial intelligence algorithms, such as deep reinforcement learning …

Edge computing (EC) is a promising paradigm for providing ultra-low latency experience for
IoT applications at the network edge, through pre-caching required services in fixed edge …

边缘计算在自动驾驶的环境感知和数据处理方面有着极其重要的应用. 自动驾驶汽车可以通过从
边缘节点获得环境信息来扩大自身的感知范围, 也可以向边缘节点卸载计算任务以解决计算资源 …

The needs of emerging applications, such as augmented and virtual reality, federated
machine learning, and autonomous driving, have motivated edge computing--the push of …

With the development of IoT, more and more data is offloaded from the cloud to the edge for
computing, eventually forming a collaborative computing model at the edge. However, in this …

The dramatic development of Edge Computing technologies is strongly stimulating the
adoption of machine learning models on connected and autonomous vehicles (CAVs) so …