Enhancements of V2X communication in support of cooperative autonomous driving

By Laurens Hobert, Andreas Festag, Ignacio Llatser, L. Altomare, F. Visintainer, A. Kovács. IEEE Communications Magazine, 2015

331 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/565f8959e435596ac72ef159d06fd3c041534d94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. John K. Tsotsos
2. Amir Rasouli
3. Sherali Zeadally
4. Rasheed Hussain
5. Weisong Shi
6. Liangkai Liu

In Control and Systems Engineering

1. Sherali Zeadally
2. Rasheed Hussain

In Electrical and Electronic Engineering

1. Rasheed Hussain
2. Sherali Zeadally
3. Bo Yu
4. Yifan Wang
5. Weisong Shi
6. Jie Tang
7. Shaoshan Liu
8. Liangkai Liu

Citations in the corpus

• Autonomous Cars: Research Results, Issues, and Future Challenges (2019, background): “that it meets the additional communication requirements of the cooperative autonomous car such as additional vehicle status data, convoy management, maneuver negotiation, intersection management, cooperative sensing, high message rate, low end-to-end delay, and enhanced reliability [79].”
• Edge Computing for Autonomous Driving: Opportunities and Challenges (2019, background): “Cooperative autonomous driving is divided into two categories: one is cooperative sensing and the other is cooperative decision [88].”
• Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice (2018, background): “Technologies have also been introduced that enable autonomous vehicles to communicate with road users, such as V2V [16] and V2P [17] wireless communication mechanisms, and various visual intent displays such as LED lights [18] or projectors [19].”