Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals, roadside infrastructure, and even vulnerable road users, sharing data and compute for safer, more efficient, and more comfortable mobility. In terms of communication technology for realizing such vehicle-to-everything (V2X) communication, the WLAN-based peer-to-peer approach (IEEE 802.11p, ITS-G5 in Europe) competes with C-V2X based on cellular technologies (4G and beyond). Irrespective of the underlying communication standard, common message interfaces are crucial for a common understanding between vehicles, especially from different manufacturers. Targeting this issue, the European Telecommunications Standards Institute (ETSI) has been standardizing V2X message formats such as the Cooperative Awareness Message (CAM). In this work, we present V2AIX, a multi-modal real-world dataset of ETSI ITS messages gathered in public road traffic, the first of its kind. Collected in measurement drives and with stationary infrastructure, we have recorded more than 230 000 V2X messages from more than 1800 vehicles and roadside units in public road traffic. Alongside a first analysis of the dataset, we present a way of integrating ETSI ITS V2X messages into the Robot Operating System (ROS). This enables researchers to not only thoroughly analyze real-world V2X data, but to also study and implement standardized V2X messages in ROS-based automated driving applications. The full dataset is publicly available for noncommercial use at v2aix.ika.rwth-aachen.de.

Since I spend an inordinate and unfortunate amount of time worrying about the possibility of a forthcoming artificial intelligence (AI) apocalypse, I was delighted to hear that the folks at ETSI have plunged into the fray with regard to establishing the world's first standardization initiative dedicated toward securing AI. We will return to ETSI's initiative shortly, but first… To be honest, things are now happening so fast with regard to AI that it's starting to make my head spin (see also What the FAQ are AI, ANNs, ML, DL, and DNNs?). As I've mentioned before, AI has been long in the coming. Way back in the 1840s, Ada Lovelace, who was assisting Charles Babbage on his quest to build a mechanical computer called the Analytical Engine, jotted down some thoughts about the possibility of computers one day using numbers as symbols to represent other things like musical notes. In 1950, a little over 100 years after Ada penned her musings, English mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist, Alan Mathison Turing wrote a seminal paper, Computing Machinery and Intelligence, in which he considered the question, "Can Computers Think?"

This includes threats to artificial intelligence systems from both conventional sources and other AIs. The ETSI Securing Artificial Intelligence group was initiated to anticipate that autonomous mechanical and computing entities may make decisions that act against the relying parties either by design or as a result of malicious intent. Using AI to enhance security measures against attack from other things e.g. AI is part of the'solution' or is used to improve and enhance more conventional countermeasures. The purpose of the ETSI ISG SAI is to develop the technical knowledge that acts as a baseline in ensuring that artificial intelligence is secure.

The European Telecommunications Standards Institute (ETSI), which wrote the original specification for network functions virtualisation (NFV), has set up its experiential network intelligence industry specification group to handle the task. He sees many parallels between the evolution of cars and where networks can get to. "Years ago, cars were painfully manual, but we've made it much more convenient and 14 years ago we started looking at self-driving cars, which is an absolute disruptive change." In order for self-driving networks to become a reality, vendors and providers must fully collaborate, he says. Interestingly, ETSI's AI initiative, which has an initial two-year work programme, is coming from vendors, ETSI director general Luis Jorge Romero told GTB at Mobile World Congress.

ETSI has created a new Industry Specification Group on'Experiential Network Intelligence' (ISG ENI) with a view to improving operator experience using Artificial Intelligence (AI) and machine learning. The aim of the group is to define a Cognitive Network Management architecture that is based on the "observe-orient-decide-act" control model. It will use AI techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. Ultimately, the group intends to help operators automate their network configuration and monitoring processes, thereby reducing their operational expenditure and improving the use and maintenance of their networks.