ADAS & Autonomous Vehicle International
  • News
    • A-L
      • ADAS
      • AI & Sensor Fusion
      • Business
      • Connectivity
      • Cybersecurity
      • Expo
      • HMI
      • Last-mile delivery
      • Legislation & Standards
      • Localization/GNSS
    • M-Z
      • Mapping
      • Off-Highway
      • Robo-Taxis
      • Sensors
      • Shared Mobility
      • Safety
      • Simulation
      • Testing
      • Trucks
      • V2X
  • Features
  • Online Magazines
    • January 2025
    • September 2024
    • April 2024
    • January 2024
    • Subscribe
  • Opinion
  • Videos
  • Supplier Spotlight
  • Events
LinkedIn Facebook Twitter
  • Automotive Interiors
  • Automotive Testing
  • Automotive Powertrain
  • Professional Motorsport
  • Tire Technology
  • Media Pack
LinkedIn Facebook
Subscribe
ADAS & Autonomous Vehicle International
  • News
      • ADAS
      • AI & Sensor Fusion
      • Business
      • Connectivity
      • Cybersecurity
      • Expo
      • HMI
      • Last-mile delivery
      • Legislation & Standards
      • Localization/GNSS
      • Mapping
      • Off-Highway
      • Robo-Taxis
      • Sensors
      • Shared Mobility
      • Safety
      • Simulation
      • Testing
      • Trucks
      • V2X
  • Features
  • Online Magazines
    1. April 2025
    2. January 2025
    3. September 2024
    4. April 2024
    5. January 2024
    6. Subscribe
    Featured
    April 15, 2025

    In this Issue – April 2025

    Online Magazines By Web Team
    Recent

    In this Issue – April 2025

    April 15, 2025

    In this Issue – January 2025

    November 29, 2024

    In this Issue – September 2024

    July 23, 2024
  • Opinion
  • Videos
  • Supplier Spotlight
  • Events
  • Awards
    • About
    • Shortlist
    • Judges
LinkedIn Facebook
Subscribe
ADAS & Autonomous Vehicle International
AI & Sensor Fusion

Generative AI video tech for autonomous driving launched by Helm.ai

Izzy WoodBy Izzy WoodJune 24, 20243 Mins Read
Share
LinkedIn Twitter Facebook Email

Helm.ai, a provider of advanced AI software for high-end ADAS, Level 4 autonomous driving and robotic automation, has unveiled a generative AI model that produces highly realistic video sequences of driving scenes for autonomous driving development and validation.

The AI technology, known as launch VidGen-1, follows Helm.ai’s announcement of GenSim-1 for AI-generated labeled images and is useful for both prediction tasks and generative simulation.

Trained on thousands of hours of diverse driving footage, the AI video tech leverages deep neural network (DNN) architectures and deep teaching, an unsupervised training technology, to create realistic video sequences of driving scenes. These videos – produced at a resolution of 384 x 640 with variable frame rates up to 30 frames per second and lasting up to several minutes – can be generated either randomly without an input prompt or prompted with a single image or input video.

“Combining our deep teaching technology, which we’ve been developing for years, with additional in-house innovation on generative DNN architectures results in a highly effective and scalable method for producing realistic AI-generated videos. Our technology is general and can be applied equally effectively to autonomous driving, robotics and any other domain of video generation without change,” said Helm.ai’s CEO and co-founder, Vladislav Voroninski.

The company says VidGen-1 can generate videos of driving scenes across different geographies and from multiple types of cameras and vehicle perspectives.

The model can produce both highly realistic appearances and temporally consistent object motion, and learn and reproduce human-like driving behaviors, to generate motions of the ego-vehicle and surrounding agents in accordance with traffic rules.

It can simulate realistic video footage of various scenarios in multiple international cities, encompassing urban and suburban environments; a variety of vehicles; pedestrians; bicyclists; intersections; turns; weather conditions (such as rain and fog); illumination effects (like glare and night driving) and accurate reflections on wet road surfaces; reflective building walls, and the hood of the ego-vehicle.

“Predicting the next frame in a video is similar to predicting the next word in a sentence but much more high dimensional,” said Voroninski.

“Generating realistic video sequences of a driving scene represents the most advanced form of prediction for autonomous driving, as it entails accurately modeling the appearance of the real world and includes both intent prediction and path planning as implicit sub-tasks at the highest level of the stack. This capability is crucial for autonomous driving because, fundamentally, driving is about predicting what will happen next.”

Share. Twitter LinkedIn Facebook Email
Previous Articlebitsensing secures $25m in Series B funding round to advance radar solutions
Next Article Applied Intuition introduces autonomy stack for off-road terrain

Related Posts

Trucks

Hyundai Motor and Plus unveil autonomous hydrogen freight ecosystem concept

May 12, 20252 Mins Read
Videos

WATCH: Riding the Wayve with Sir Richard Branson

May 9, 20251 Min Read
Robo-Taxis

Waymo and Magna to invest in new vehicle factory in Arizona

May 7, 20253 Mins Read
Latest News

NXP unveils third-generation imaging radar processors

May 16, 2025

Elektrobit and Metoak partner on SDV safety ecosystem development

May 12, 2025

Hyundai Motor and Plus unveil autonomous hydrogen freight ecosystem concept

May 12, 2025
FREE WEEKLY E-NEWSLETTER

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Our Social Channels
  • Facebook
  • LinkedIn
Getting in Touch
  • Free Weekly E-Newsletters
  • Meet the Editors
  • Contact Us
  • Media Pack
RELATED UKI TOPICS
  • Automotive Interiors
  • Automotive Testing
  • Automotive Powertrain
  • Professional Motorsport
  • Tire Technology
  • Media Pack
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Notice & Takedown Policy
  • Site FAQs

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT