TA: Self-Driving Vehicles. From Novelty to Everyday Use

I remember a time when self-driving cars were only discussed and shown. On stage, they were magnificent and cool, but in conversation, they were unnerving.

They are now being incorporated into daily life. From vision to early-market growth in plain sight, they transport people on highways, operate in a few cities, and appear on TV shows.

The post I wrote in October about physical AI and the emergence of self-delivery robots is expanded upon in this piece. The discussion focused on machines moving through warehouses and sidewalks.

This one advances to a higher level. Inside the car, people, software, and society share responsibility, and systems designed to make quick decisions are trusted.

The market is very small, and we are still in the early stages. Although there aren't many major players on the list, momentum is growing.

Every year, safety measures improve, public interest grows, and authorities keep a close eye on things. This topic will transition from novelty to everyday use by 2030.

Decades of study in robotics, computer vision, and control systems led to the evolution of self-driving cars. Lane detection and basic autonomy were the main topics of early research in the 1980s.

Fast forward to the 2010s; it marked the beginning of a new chapter. Advances in sensors, GPUs, and machine learning made perception reliable enough for real roads.

The full research note was posted first in the publication "Tomorrow's Affairs" on January 21st 2026

Read here