ADAS

ASEUR24 sneha feat

A deep dive into Generative AI with Sneha Sudhir Shetiya, Staff Software Engineer at TORC Robotics

Generative AI, including techniques like GANs, VAEs, and Transformer models, is revolutionizing ADAS by creating realistic synthetic data for training, enhancing safety and reliability. Sneha discusses the challenges of implementing generative AI in ADAS, particularly in ensuring robustness and data quality through advanced analysis techniques. Additionally, this interview examines the future role of generative AI in ADAS, highlighting emerging technologies like unsupervised learning and explainable AI.

A deep dive into Generative AI with Sneha Sudhir Shetiya, Staff Software Engineer at TORC Robotics Read More »

Divya Garikapati

An Interview with Divya Garikapati, IEEE, SAE and Women in Autonomy

In this interview, Peter Burns, Chief, Human Factors and Crash Avoidance Research, Motor Vehicle Safety at Transport Canada explores the this question in relation to the effectiveness of ADAS systems – focusing on challenges with design, efficiency, consistency and education for users.

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VSI Labs - The future of ADAS, Egil Juliussen

The Future of ADAS with Egil Juliussen, PhD. VSI Labs

This white paper will discuss NHTSA’s past effort and history to understand the acceleration of current ADAS activities. NHTSA’s recent publication of a Notice of Proposed Rulemaking (NPRM) is a major regulation step that will mandate Automatic Emergency Braking (AEB) for both forward collisions and pedestrians. This white paper is a summary of this important mandate including NHTSA’s rationale, key features, testing requirements, cost and benefits, and likely deployment timeline. Read on to see what Egil Juliussen from VSI Labs said..

The Future of ADAS with Egil Juliussen, PhD. VSI Labs Read More »

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