Search Results - "Dianati, Mehrdad"
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A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles
Published in IEEE transactions on intelligent transportation systems (01-09-2022)“…The state-of-the-art decision and planning approaches for autonomous vehicles have moved away from manually designed systems, instead focusing on the…”
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Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
Published in IEEE transactions on intelligent transportation systems (01-01-2022)“…Behaviour prediction function of an autonomous vehicle predicts the future states of the nearby vehicles based on the current and past observations of the…”
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A Survey on 3D Object Detection Methods for Autonomous Driving Applications
Published in IEEE transactions on intelligent transportation systems (01-10-2019)“…An autonomous vehicle (AV) requires an accurate perception of its surrounding environment to operate reliably. The perception system of an AV, which normally…”
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Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC
Published in IEEE transactions on intelligent transportation systems (01-06-2020)“…Automated vehicles are increasingly getting main-streamed and this has pushed development of systems for autonomous manoeuvring (e.g., lane-change, merge, and…”
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Towards connected autonomous driving: review of use-cases
Published in Vehicle system dynamics (03-06-2019)“…Connected autonomous vehicles are considered as mitigators of issues such as traffic congestion, road safety, inefficient fuel consumption and pollutant…”
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Intrusion Detection Systems for Intra-Vehicle Networks: A Review
Published in IEEE access (2019)“…A modern vehicle is a complex system of sensors, electronic control units, and actuators connected through different types of intra-vehicle networks to control…”
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Securing Cloud-Assisted Connected and Autonomous Vehicles: An In-Depth Threat Analysis and Risk Assessment
Published in Sensors (Basel, Switzerland) (31-12-2023)“…As threat vectors and adversarial capabilities evolve, Cloud-Assisted Connected and Autonomous Vehicles (CCAVs) are becoming more vulnerable to cyberattacks…”
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Trinary Partitioned Black-Burst-Based Broadcast Protocol for Time-Critical Emergency Message Dissemination in VANETs
Published in IEEE transactions on vehicular technology (01-07-2014)“…In this paper, we propose a multihop broadcast protocol for dissemination of time-critical emergency messages (EMs) in vehicular ad hoc networks (VANETs),…”
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Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks
Published in IEEE transactions on intelligent transportation systems (01-06-2012)“…This paper proposes an analytical model for the throughput of the enhanced distributed channel access (EDCA) mechanism in the IEEE 802.11p medium-access…”
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Low‐complexity channel estimation for V2X systems using feed‐forward neural networks
Published in IET communications (01-08-2024)“…In vehicular communications, channel estimation is a complex problem due to the joint time–frequency selectivity of wireless propagation channels. To this end,…”
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Downlink Beamforming for SWIPT Multi-User MISO Underlay Cognitive Radio Networks
Published in IEEE communications letters (01-02-2017)“…This letter investigates downlink beamforming for simultaneous wireless information and power transfer in multi-user multi-input single-output underlay…”
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Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
Published in IEEE access (2019)“…The proliferation of the mobile Internet and connected devices, which offer a variety of services at different levels of performance is a major challenge for…”
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A Comprehensive Survey of Threats in Platooning—A Cloud-Assisted Connected and Autonomous Vehicle Application
Published in Information (Basel) (01-01-2024)“…Cloud-Assisted Connected and Autonomous Vehicles (CCAV) are set to revolutionise road safety, providing substantial societal and economic advantages. However,…”
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Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook
Published in IEEE open journal of intelligent transportation systems (2021)“…It is envisaged that 5G can enable many vehicular use cases that require high capacity, ultra-low latency and high reliability. To support this, 5G proposes…”
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Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues
Published in IEEE transactions on intelligent vehicles (01-09-2020)“…In recent decades, driving assistance systems have been evolving towards personalization for adapting to different drivers. With the consideration of driving…”
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Impact analysis of cooperative perception on the performance of automated driving in unsignalized roundabouts
Published in Frontiers in robotics and AI (15-08-2023)“…This paper reports the implementation and results of a simulation-based analysis of the impact of cloud/edge-enabled cooperative perception on the performance…”
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Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment
Published in Sensors (Basel, Switzerland) (27-11-2020)“…While extracting meaningful information from big data is getting relevance, literature lacks information on how to handle sensitive data by different project…”
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A Novel Detection Approach of Unknown Cyber-Attacks for Intra-Vehicle Networks Using Recurrence Plots and Neural Networks
Published in IEEE open journal of vehicular technology (2023)“…Proliferation of connected services in modern vehicles could make them vulnerable to a wide range of cyber-attacks through intra-vehicle networks that connect…”
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Trends in Intelligent Communication Systems: Review of Standards, Major Research Projects, and Identification of Research Gaps
Published in Journal of sensor and actuator networks (01-12-2021)“…The increasing complexity of communication systems, following the advent of heterogeneous technologies, services and use cases with diverse technical…”
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Effects of Residual Hardware Impairments on Secure NOMA-Based Cooperative Systems
Published in IEEE access (2020)“…Non-orthogonal multiple access (NOMA) has been proposed as a promising technology that is capable of improving the spectral efficiency of fifth-generation…”
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