AutoSens

As vehicle architectures become increasingly centralised, ultrasonic sensing is evolving beyond traditional parking and near-field applications. Britta Olschner, Director Product Segment Ranging at Elmos, explains how next-generation smart ultrasonic sensors can preserve and compress richer, higher-resolution data at the sensor level, giving central compute platforms more information for positioning, classification and sensor fusion.

Current end-to-end AI architectures have demonstrated strong capabilities in common driving scenarios, but autonomous driving must also handle the vast number of unusual situations that cannot be fully captured by statistical training data. Prof. Dr. Duong-Van Nguyen, Global Deputy CEO of VinFast, discusses how “Thinking AI”, modular agentic architectures, sensor and compute configurations, and new validation strategies could help advance scalable autonomous driving from L2+ toward L4. Prof.

AutoSens Europe 2026 brought the ADAS and autonomous driving community to La Farga, Barcelona, from 22 to 24 September. Three days of keynotes, panels, tutorials and a packed exhibition floor left our team with plenty to think about. Here are the three things that stood out most. Written by: Daniel Rue Senior Business Development Manager Will Greenstreet Business Development Executive 1. We all know AI is a huge enabler, but the question is where to deploy it?

Written by: Becky Wells Freelance Automotive Journalist Learn more about the latest automotive interior sensing, ADAS and safety technology developments announced at AutoSens Europe 2026 in Barcelona. AutoSens Europe 2026 returned to Barcelona this September, once again running as a co-located event at La Farga de L’Hospitalet.

Ultra-wideband (UWB) technology is evolving rapidly from a secure digital key solution into one of the automotive industry’s most promising sensing technologies. By enabling accurate occupant detection, vital-sign monitoring and child presence detection without relying on cameras, multistatic UWB offers a privacy-preserving approach to in-cabin intelligence.

As automotive sensing systems become more complex, OEMs are rethinking where perception, data processing and sensor fusion should take place. Georg Olma, Sr. Director Automotive Solutions at NXP, explores the move towards centralised compute, the role of edge processing and functional safety, and how scalable vehicle architectures can bring together sensors, AI and software to create more coordinated vehicle intelligence. Georg Olma Sr. Director Automotive Solutions 1.

Written by: Juergen Hoellisch​ CEO Having worked across the global automotive industry and followed the evolution of ADAS, automated driving, sensing and vehicle architectures in China and Europe, I believe we are reaching an important turning point. For many years, China was primarily viewed as the world’s largest automotive market and manufacturing base. Later, it became the world’s most dynamic EV market. Today, we need to look at China differently.

As automotive perception becomes increasingly AI-native, the image sensor is taking on a more critical role in how vehicles interpret the world around them. In this editorial, onsemi explores how sensor architecture is evolving to deliver more reliable data at the source, balancing HDR, low-light performance, motion, safety and system complexity while preparing for the next generation of automotive vision. An Interview with: 1.

Automotive cameras are expected to deliver reliable visual information across everything from bright sunlight to low-light conditions and fast-moving scenes, but conventional image sensors still face a fundamental trade off between noise and motion blur.

Planetary rovers operate in some of the most demanding environments imaginable, where limited compute, extreme conditions and long communication delays can make human intervention difficult or impossible.