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Expo

Autonomous Vehicle Tech Expo opens next week

Anthony JamesBy Anthony JamesJune 15, 20263 Mins Read
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Explore the breakthroughs driving safer, smarter and more scalable autonomous vehicles at next week’s (June 23-25, 2026) Autonomous Vehicle Tech Expo in Stuttgart, Germany (register for your free exhibition pass, here).

As part of Vehicle Tech Week Europe, Autonomous Vehicle Tech Expo will feature specialist suppliers showcasing advances in ADAS, autonomy, simulation, AI, sensing and regulatory readiness – delivering a system-level view of the path from L2+ to L4.

Discover the technologies behind safer, smarter vehicles

Visitors will be able to access the core technologies shaping the future of mobility on the exhibition floor, where they can meet suppliers ready to help solve validation, scalability and deployment challenges, and improve product quality, safety and cost efficiency. Exhibitors include aiMotive, rFpro, Dynamic Map Platform and Morai, to name just a few, with other relevant suppliers taking part in the adjacent Automotive Testing Expo.

Early show news includes the latest in ML-safe video data compression, which will be on display from Beamr (A256). Autonomous vehicle teams managing tens to hundreds of petabytes of real-world and synthetic video data face a critical challenge: how to break bottlenecks through training and validation as costs compound, pipelines slow and datasets grow rapidly. Any compression solution must prove it won’t degrade downstream ML model performance. Lossless or near-lossless methods eliminate accuracy risk but at file sizes that make petabyte-scale management unworkable.

Beamr’s Content-Adaptive Bitrate (CABR) technology resolves this trade-off with ML-safe video data compression and up to 50% file size reduction. Benchmark testing on AV data demonstrated less than 2% difference in mean average precision (mAP), with robust results across multiple quality metrics.

CABR integrates via SDK or FFmpeg plug-in with no changes to existing ML pipelines, and deploys as a fully managed cloud service including on AWS S3. It accepts any input; outputs in standard codecs – AVC, HEVC, AV1.

Meanwhile rFpro (A262) will present findings from the Sim4CamSens2 research project designed to advance the development and validation of automotive sensor systems through simulation. Building on the success of the original Sim4CamSens project, which improved the realism of external-facing sensor simulation, Sim4CamSens2 extended the focus to include interior-facing sensor systems, addressing the growing importance of in-cabin monitoring for safety and autonomy.

rFpro’s focus included advancing simulation verification processes, researching how synthetic data can assess the performance of real-world perception systems, and enhancing its simulation platform to model and test in-cabin sensor systems with greater fidelity than before. The company has adapted its simulation tools to model human movement and skin appearance, develop more detailed digital twins of vehicle interiors and create in-cabin specific edge case scenarios for testing, including new infrared camera sensor model integrations.

These developments will be available in AV Elevate, rFpro’s award-winning simulation platform for ADAS and autonomous vehicle development.

Stay ahead of regulatory change and the future of autonomous mobility

Upgrade your free expo pass to a conference pass and gain insights into software, AI and SDV architecture; safe autonomous deployment; simulation and virtual validation; and standards and collaboration. After an opening address from Ford, sessions will include speakers from TÜV/ PAVE, FISITA, Uscale, Forvia, Ampere, ASAM, European Commission, SAE ITC AVSC, Here Technologies, Renault, Hella, VinFast, Mercedes and many more (see our previous recommendations, here).

Join us for the VTW Awards

Finally, don’t miss the ADAS & Autonomous Vehicle International Awards, which take place as part of the Vehicle Tech Week awards, on Wednesday 24 June. Come and toast the winners and network with nominated companies including Waymo, Wayve, WeRide, BMW, Uber, Honda, and more. 

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Previous ArticleBolt, Pony.ai and Stellantis launch autonomous mobility testing project in Luxembourg

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