A new AI-based framework called AdvWT, developed by Seoul National University of Science and Technology (SeoulTech), has been used to demonstrate how naturally occurring damage to traffic signs can cause DNN-based vision systems to misclassify them. Testing the model across multiple AI architectures showed attack transferability and physical-world robustness, with researchers stating that training models with AdvWT-generated damaged signs could help identify vulnerabilities and improve AI generalisation to real-world damage.

In computer vision and robotics, ensuring that AI systems remain reliable under real-world conditions is a growing challenge. Deep neural network-based vision systems are increasingly used in safety-critical applications such as autonomous driving, where misinterpreting a traffic sign could potentially lead to unsafe decisions.

Continue reading SeoulTech develops AI framework to assess vision-system robustness at ADAS & Autonomous Vehicle International.

Marking the official opening of its North American manufacturing facility in Georgia, global Tier 1 supplier Yfore Technology has debuted its Occupant & Driver Monitoring System (ODMS) – an integrated in-cabin full-coverage sensing solution.

As in-cabin monitoring systems become standard, conventional vision-only setups often struggle with seatback occlusion, footwell blind spots and covered occupants, while distributed sensors complicate vehicle wiring and roof tooling. To solve this, the company says its ODMS combines a DMS/OMS-integrated smart mirror with automotive-grade cabin radar, delivering an integrated multimodal architecture for robust cabin protection.

Eliminating blind spots

Integrating the smart mirror with in-cabin radar overcomes optical limitations through RF signal penetration.

Continue reading Yfore debuts integrated occupant and driver monitoring system at ADAS & Autonomous Vehicle International.

E-Con Systems has achieved IATF 16949:2016 certification, the automotive quality management system standard focused on defect prevention, reducing variation and continual improvement. IATF 16949:2016 builds on the principles of ISO 9001 and incorporates additional requirements specific to the automotive industry.

The IATF 16949 certification covers E-Con Systems’ automotive camera portfolio across four camera types: forward-facing cameras, rear-view cameras, surround-view cameras and driver monitoring cameras, spanning the core vision systems used in mobility applications. E-Con Systems’ automotive cameras are also validated on leading platforms like Nvidia Jetson, supporting a proven path from prototyping through production.

IATF 16949 certification reflects improvements across E-Con Systems’ quality management processes, including risk-based thinking throughout the product lifecycle, product and manufacturing risk mitigation, and structured controls for safety-critical characteristics.

Continue reading E-Con Systems earns IATF 16949: 2016 certification at ADAS & Autonomous Vehicle International.

GUSS Automation – a John Deere subsidiary – plans to integrate Ouster’s Rev8 OS0 native-color digital lidar sensors, powered by Ouster’s L4 Ouster Silicon, into its next-generation autonomous orchard machines. The technology is expected to enhance machine capabilities and support autonomous operation in complex outdoor environments.

GUSS is applying Ouster’s sensing technology to the demanding conditions of autonomous agriculture, where dense orchards and vineyards can make navigation challenging. The integration addresses limitations of traditional GPS, which may not provide the centimeter-level precision required for safe and accurate machine operation.

Through the planned integration of Ouster’s Rev8 OS0 digital lidar, GUSS aims to enhance perception for autonomous operations.

Continue reading Ouster lidar to support GUSS autonomous orchard machines at ADAS & Autonomous Vehicle International.

UK software specialist rFpro has added Solectrix‘s SXIVE (Simplified eXtensive Image and Video Engine) image-processing technology to its AV Elevate platform, enabling engineers to design, model and optimise the entire camera pipeline in simulation. By facilitating development before physical prototypes are available, the solution allows sensor optimization and training dataset production to shift earlier in the development cycle, significantly reducing costs.

The integration will support the tuning of image signal processing (ISP) and camera parameters against edge cases, the training of perception models with SXIVE-processed synthetic data and testing complete vision pipelines under highly variable conditions.

The update brings Solectrix’s software-based ISP into rFpro’s camera model, enabling engineers to optimize key processing steps directly in simulation, such as debayering, color correction, tone mapping, denoising, lens distortion and lens shading correction.

Continue reading rFpro and Solectrix offer solution for the rapid development of camera systems at ADAS & Autonomous Vehicle International.

oToBrite, a Taiwan-based provider of automotive-grade vision AI camera solutions, has introduced the GMSL2 Repeater, a device intended to extend rugged camera-to-processor connections on large machines. A single repeater regenerates the GMSL2 signal at the midpoint of the link, doubling the standard 15m range to 30m without altering the camera setup or moving the compute unit.

Large machines place cameras far from the compute unit. Trailer-rear, boom-arm, harvesting-head and perimeter cameras routinely sit outside the reliable range of a standard GMSL2 link over automotive cabling. Reaching those positions usually requires either relocating the compute unit or redesigning the cable architecture.

Continue reading oToBrite launches GMSL2 Repeater for long-range camera links at ADAS & Autonomous Vehicle International.

Pirelli has entered an agreement with RIDEsense, a spin-out from the University of Naples Federico II and the MegaRide Group specializing in advanced mobility technologies, to co-develop software solutions for integration into the Pirelli Cyber Tyre ecosystem.

The agreement sees the tire maker acquire a 24.99% equity stake in the company, with an option to increase its holding to 100%, and grants Pirelli a licence to use RIDEsense’s virtual sensor technology. The company said the collaboration is a further step in the Cyber Tyre ecosystem’s role within advanced driver assistance systems and autonomous driving systems.

Combining Pirelli Cyber Tyre’s physical sensors with RIDEsense’s virtual sensors (algorithms that process data from sensors already installed in vehicles) will broaden the system’s contribution to vehicle safety electronics, the tire maker said, and strengthen existing functions such as aquaplaning detection and enable new capabilities in tire and vehicle diagnostics.

Continue reading Pirelli acquires 24.99% stake in virtual sensor startup RIDEsense at ADAS & Autonomous Vehicle International.

Valeo has secured a contract for advanced safety technologies with a North American electric vehicle manufacturer. The company will deploy its corner radar suite, including both hardware and embedded software, for the auto maker’s L2+ and L3 system.

The latest generation of radar has been engineered to enable essential life-saving features, including automatic emergency braking (AEB), lane keeping assist (LKA) as well as safe exit protection (SEP). Valeo’s radar system can also support eyes-off functions that could be added over-the-air by the OEM at a later date.

“This landmark win with a major North American auto maker validates the unrivaled performance of our next-generation radar in the most demanding environments,” said Marc Vrecko, CEO of Valeo Brain Division.

Continue reading North American EV OEM selects Valeo’s high-resolution radar platform at ADAS & Autonomous Vehicle International.

Aptiv has launched the Advanced Occupancy Classification (AOC) system, an occupant detection solution powered entirely by an in-cabin camera that simplifies vehicle architecture by eliminating traditional in-seat hardware while enabling next-generation cabin intelligence.

Drawing on more than two decades of Aptiv experience in occupant detection, AOC is an advanced software solution that leverages artificial intelligence and computer vision to accurately classify occupants based on parameters such as height, weight and body position. This enables optimized airbag deployment decisions while significantly reducing system complexity and cost for auto makers, the technology company said.

“Aptiv’s AOC represents a strategic leap forward in cabin innovation,” said Matthew Cole, senior vice president and president of sensors and compute at Aptiv.

Continue reading Aptiv introduces camera-only occupant detection system at ADAS & Autonomous Vehicle International.

Under Euro NCAP’s 2026 protocols, the weighting of driver and occupant monitoring systems on a vehicle’s safety rating has significantly increased, and advanced driver distraction warning (ADDW) will become mandatory for all new vehicles from July 2026 under the EU’s General Safety Regulation. The challenge for OEMs and their suppliers is that these systems must work reliably across a vast range of real-world conditions and testing them physically is slow, expensive and limited in scope.

To address this, rFpro has launched the AV Elevate In Cabin add-on package, which enables automotive OEMs, Tier 1s and sensor developers to tune, train and test driver and occupant monitoring systems in simulation to improve the speed and consistency of in-cabin testing.

Continue reading rFpro launches AV Elevate In Cabin driver and occupant monitoring simulation tool at ADAS & Autonomous Vehicle International.