Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving Under Meteorological Impact

no code implementations • 12 Aug 2022 • Gurinder Singh, Anand Srivastava, Vivek Ashok Bohara, Md Noor-A-Rahim, Zilong Liu, Dirk Pesch

We are witnessing a transition to a new era where driverless cars will be pervasively connected to deliver significantly improved safety, traffic efficiency, and travel experiences.

Autonomous Driving

Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic

no code implementations • 17 May 2021 • Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning, Sajal K Das, Chris Nugent, Devin Burns, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White

Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.

6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

no code implementations • 14 Dec 2020 • Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, M. Omar Khyam, Jianhua He, Dirk Pesch, Klaus Moessner, Walid Saad, H. Vincent Poor

Aiming for truly intelligent transportation systems, we envision that machine learning will play an instrumental role for advanced vehicular communication and networking.

Autonomous Vehicles Information Theory Networking and Internet Architecture Information Theory

Machine Learning in Event-Triggered Control: Recent Advances and Open Issues

no code implementations • 27 Sep 2020 • Leila Sedghi, Zohaib Ijaz, Md. Noor-A-Rahim, Kritchai Witheephanich, Dirk Pesch

The purpose of this article is to conduct a review of the literature on the use of machine learning in combination with event-triggered control.

BIG-bench Machine Learning reinforcement-learning +1