Autonomous vehicles

Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. This article covers humanoid robots, collaborative robots, and vehicle autonomy, as well as the use of AI software within robotics.

As software becomes an increasingly important differentiator and component of autonomous driving, the term 'end-to-end' has been used to describe a new approach to autonomous driving software. End-to-end autonomous driving systems are defined by the input of raw sensor data into a deep learning model, and outputting vehicle control commands such as steering, acceleration, and braking. This represents a paradigm shift from the traditional modular software approach used in autonomous vehicles.

Making the call to order a coffee on-the-go could be the new normal for vehicles fitted with in-cabin sensing features and artificial intelligence systems. This article explores the future of software-defined vehicles and increasing levels of autonomy.

IDTechEx's Autonomous Vehicle Software Market report provides a holistic overview of the current cutting edge of autonomous driving sensors, introducing hardware and regulations before moving on to different approaches to software for ADAS and autonomous driving. It analyses key developments from players such as Waymo and Tesla, and also enabling technologies such as HD maps, steer-by-wire, and the applications of AI for software and software development. The report includes a 20-year forecast of the automotive software industry, separated by region and SAE level, forecasted in US$ and annual unit sales.

The automotive industry is undergoing a foundational shift toward software-defined vehicles (SDVs), where functionality, value, and user experience are increasingly governed by software rather than hardware. IDTechEx's new market report, "Software-Defined Vehicles, Connected Cars, and AI in Cars 2026-2036: Markets, Trends, and Forecasts", offers a comprehensive analysis of this transformation, covering the evolution of in-vehicle electrical/electronic (E/E) architecture, connectivity platforms, feature monetization models, and long-term market forecasts.

Automation levels from 1 to 5 can be seen in almost all types of vehicles manufactured today. This article explores the primary shifts happening between levels 2 and 3, and the automation landscape globally.

Smart glasses could create real life subtitles for clearer interactions, while helmets for firefighters or policemen with sensing technology could make high-risk jobs safer. This article explores a future of accessible technologies to bring ease to daily life.

In-cabin sensing innovations from Tesla, Seeing Machines, and LG Electronics—leveraging radar, 3d cameras, and AI—are transforming vehicle safety and personalization, setting the stage for a US$6 billion market by 2035.

China's L2+ ADAS market is accelerating, led by cost-effective full-stack solutions and domestic innovation. IDTechEx projects the market to reach US$20 billion by the 2040's as local players outpace global rivals.

The article highlights how automotive OEMs are increasingly integrating AI-driven in-cabin sensing technologies into software-defined vehicle architectures, particularly in response to upcoming regulatory requirements like the EU's Advanced Driver Distraction Warning (ADDW).