Autonomous Vehicle Tech Expo Conference

Join us as we share how ADASTEC’s SAE Level-4 automated driving software platform, flowride.ai enables automated public transit...

We have conducted a large-scale study on the user perspective on ADAS. While manufacturers have extensive technical evaluations, there...

When an autonomous vehicle accelerates, yields, overtakes, or stops, it implicitly makes a claim: “this behavior is legal.” But...

The automotive industry is undergoing one of its most significant shifts ever: cars are becoming increasingly software-driven, and this...

AD technology is shaping fast, with end-to-end AI stacks entering the market quickly. But how to prove it is...

Perception accuracy in physical AI systems for autonomous driving is increasingly limited by slow, hardware-bound iteration across the sensor-to-silicon...

ADAS require reliable sensor alignment over the entire vehicle life cycle. This paper presents a lifecycle-oriented approach combining in-line...

Fitness-for-Purpose (F4P) Analytics is a novel methodology for assessing the reliability of AI-based perception in automated driving systems. It...

Presentation of Vaive Logistics’ real-world experience in deploying autonomous delivery robots for sustainable last-mile logistics, showcasing ONA, an autonomous,...

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