We're excited to announce our generative simulation foundation models for perception 🎉 Our simulation DNNs can create highly realistic driving scenes based on variations of real-world encounters or they can be generated purely synthetically using text- or image-based prompts. Our models can simulate driving scenes that include variations in illumination and weather conditions, times of day, geographical locations, and types of landscapes (urban/highway). They also handle various road geometries and markings. Users have the flexibility to modify traffic, pedestrians, and other road obstacles. The resulting system generates high-fidelity images and the corresponding segmentation labels, which can be used for training and validation across a wide variety of scenarios and corner cases. What you see in our video is just the beginning of our generative simulation capabilities. Stay tuned for more updates! For more information, check out our press release: https://lnkd.in/g_cG9X2x #generativeai #selfdrivingcars #artificialintelligence #ai #autonomousdriving #adas #computervision
Helm.ai’s Post
More Relevant Posts
-
enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
📢 Excited to share a new blog post on an innovative approach to automatic parking planning! This paper introduces an improved algorithm based on the A* algorithm, addressing the challenges of real-time, high precision, and high trajectory quality requirements for autonomous parking. The method utilizes Model Predictive Control (MPC) as the control module and has been validated through simulation tests and ablation experiments. Read the full details here: https://bit.ly/4cSMhUL #autonomousdriving #parkingplanning #AI #algorithms
-
Can spatial context help improve #ArtificialIntelligence (#AI) learning? Yes, according to researchers at Penn State University. They used simulated spatial information in the form of 3-dimensional images to mimic how humans learn visually. Their findings pave the way for creating new AI-powered robots or vehicles that can explore and learn from their surroundings. Read more from Patterns: https://lnkd.in/eAeYDt7c
-
-
Head of Marketing @ The Trading Pit | MBA, Digital Marketing | Brand Whisperer & Master of Strategy | Data Sorcerer & Creative Visionary | AI Enthusiast | Prop Trading
With Simulon, you can seamlessly add any 3D object into your real-footage video in minutes. Simulon offers quick integration of 3D models into real footage, providing a realistic visual effect. It uses IMU sensors for tracking, enabling stable tracking even during irregular and fast motions. #ai #artificialintelligence #innovation
-
Researchers at UC Berkeley have developed a new way to teach robots strategic decision-making for dynamic tasks like playing tag. Rather than simply following a person or another robot, the robot cuts them off and actively searches for them. #AI, #RB, #Digital Robots can now outsmart you in a game of tag (the-decoder.com)
-
Another AI milestone in 2024! Generative Physical AI. The AI of the robots! #nvidia #ai #robots - All explained in the video⬇️⬇️⬇️
Introducing Generative Physical AI
https://www.youtube.com/
-
Still exploring and guiding….I really like the orange stripe on the windscreen. This is a polished/refined image. @vizcom_ #ai #generative #automotive #concept #conceptdesign #cardesign #sportscar #id #industrialdesign
-
-
Transform your road work management with 3DAI™. Monitor progress, reduce on-site visits, and improve traffic flow and safety - all from your desktop. Book a demo today 👉 [email protected] #RoadWorkManagement #RoadWorks #SmartCities #AI #TrafficFlow #RoadSafety #UrbanPlanning #3DAI #Univrses
-
Python Developer | Machine Learning | Data Science | Computer Vision | Generative AI | Artificial Intelligence
Check out the live demo of my ongoing computer vision project aimed at enhancing city traffic safety by detecting vehicles. 🎥 Watch the Demo: Please note, this is a work in progress and might encounter errors or false predictions. Currently, it fails to detect the vehicle's city of registration (license plate) and speed signs. Stay tuned for updates as I continue refining this project! #ComputerVision #AI #MachineLearning #DataScience #YOLOv9 #TrafficSafety #WebScraping #DeepLearning #TechInnovation Additionally, I'm actively training a model to accurately detect vehicle models and scan license plates for vehicle tracing. This involves utilizing OCR techniques to extract license plate numbers.
-
🚀 Google DeepMind's latest research utilizes the Gemini 1.5 Pro’s extensive context window, transforming robot navigation with the Mobility VLA. By integrating map-like space representations, robots can now navigate intricate environments from human instructions. 🔍 Key Features: - Video Tours: Robots generate spatial graphs from video frames and verbal cues. - Multimodal Instructions: Capable of interpreting map sketches, audio requests, and visual prompts. - Natural Language Commands: Users can guide robots with commands like "take me somewhere to draw." 🌟 Why It Matters: This innovation empowers robots with advanced multimodal capabilities, paving the way for revolutionary AI and robotics applications. #DeepMind #AI #Robotics #Innovation #Gemini #TechNews #FutureOfAI For further insights, check out: https://lnkd.in/gaaYqy32
Technology and Strategy Consultant in Automotive Industry | Data Science and Optimization Expert | Strategic Advisor
3moThat's pretty impressive !