Advances in Land & Sea Autonomous Vehicles Research Workshop: Research and Innovation for Smarter Cities
Overview
Autonomous vehicles (AV) have been successfully deployed in a number of application scenarios including warehouse automation, logistics, and agriculture, to name a few. In particular, developing self-driving cars is now a worldwide race that sees the participation of all major ICT and car-making companies: achieving full autonomy and safety will allow to put these vehicles in service as taxis or service cars. Building up on these successful stories, billions of dollars from governments and companies are being invested around the world in autonomous vehicles’ design, infrastructure, sensors, AI, and policies which will change the way we travel and do business in the land and in the sea, in the same way the Internet did to the world’s economy.
The workshop intercepts this worldwide trend and brings together experts and stakeholders from around the world and from Qatar to present the state-of-the-art on autonomous robotic vehicles and brainstorm about current and future applications.
In particular, the workshop will cover fundamental aspects of AV for both land (e.g., self-driving cars) and sea scenarios. An autonomous vehicle is a complex ecosystem of mechatronic, perceptual, control, and reasoning modules, that must safely operate in human ecosystems. Accounting for this complexity and diversity, the workshop will attempt to give a 360 degrees view on AV. Topics covered during the invited talks will range from mechatronic design, to artificial intelligence and deep learning for perception and control, to multi-vehicle interaction, to cyber-security, and to societal implications and regulations.
This workshop will follow a previous workshop sponsored by Maersk Oil and Texas A&M University at Qatar, which was held in April of 2016. While the previous workshop was dedicated to Autonomous Underwater Vehicles (AUVs) and their application to the oil and gas industry, this one extends the scope of the conference to autonomous vehicles in more general scenarios.
