Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
VRF: Vehicle Road-side Point Cloud Fusion
Autonomous vehicles and human drivers are prone to line-of-sight limitations. Road-side
mounted 3D sensors like LiDARs can augment a vehicle's on-board perception. However …
mounted 3D sensors like LiDARs can augment a vehicle's on-board perception. However …
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
The rise of mobile devices with abundant sensory data and local computing capabilities has
driven the trend of federated learning (FL) on these devices. And personalized FL (PFL) …
driven the trend of federated learning (FL) on these devices. And personalized FL (PFL) …
Models on the Move: Towards Feasible Embedded {AI} for Intrusion Detection on Vehicular {CAN} Bus
Controller Area Network (CAN) protocol is widely used in vehicles as an efficient standard
enabling communication among Electronic Control Units (ECUs). However, the CAN bus is …
enabling communication among Electronic Control Units (ECUs). However, the CAN bus is …
An Online Defense against Object-based LiDAR Attacks in Autonomous Driving
LiDAR (Light Detection and Ranging) has been widely used in autonomous driving to
perceive the surrounding environment of self-driving cars. Advanced LiDAR perception …
perceive the surrounding environment of self-driving cars. Advanced LiDAR perception …
Harvesting Physical-layer Randomness in Millimeter Wave Bands
The unpredictability of the wireless channel has been used as a natural source of
randomness to build physical-layer security primitives for shared key generation …
randomness to build physical-layer security primitives for shared key generation …
[PDF][PDF] Cyclops: Binding a Vehicle's Digital Identity to Its Physical Trajectory Using Monocular Cameras
LW Koplon, AG Nessaee, A Choi… - Symp. Veh. Secur …, 2024 - ndss-symposium.org
We address the problem of cyber-physical access control for connected autonomous
vehicles. The goal is to bind a vehicle's digital identity to its physical identity represented by …
vehicles. The goal is to bind a vehicle's digital identity to its physical identity represented by …
Cyber-physical Identity Binding for Autonomous Vehicles using Monocular Cameras
L Koplon - 2024 - search.proquest.com
We address the problem of cyber-physical access control for connected autonomous
vehicles. The goal is to bind a vehicle's digital identity to its physical identity represented by …
vehicles. The goal is to bind a vehicle's digital identity to its physical identity represented by …
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles
X Wu, Y Liu, X Chi, R Jiang, X Zhou, W Rafique… - ACM Transactions on … - dl.acm.org
As an advanced carrier of on-board sensors, connected autonomous vehicle (CAV) can be
viewed as an aggregation of self-adaptive systems with monitor-analyze-plan-execute …
viewed as an aggregation of self-adaptive systems with monitor-analyze-plan-execute …
Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving
Recently, smart roadside infrastructure (SRI) has demonstrated the potential of achieving
fully autonomous driving systems. To explore the potential of infrastructure-assisted …
fully autonomous driving systems. To explore the potential of infrastructure-assisted …