Wayve’s Post

Autonomous Driving Breakthrough: Differentiable Simulation for Controller Learning 🚗 In this paper, Asen Nachkov, Danda Pani Paudel, and Luc Van Gool introduce a new framework for end-to-end AV controller learning using differentiable simulation. By integrating analytic policy gradients (APG) and leveraging the large-scale Waymo Open Motion Dataset, this method goes beyond traditional behavioral cloning, making AVs more robust and capable of handling complex real-world scenarios. Key contributions: 1. Utilizing a differentiable simulator to optimize policies using gradients from environment dynamics. 2. Improving sample efficiency and robustness compared to behavioral cloning, while requiring only expert trajectories. 3. Introducing a recurrent architecture to efficiently propagate temporal information across long simulated trajectories. #AutonomousVehicles #AI #DifferentiableSimulation #PolicyGradients #Waymo #Robotics #MachineLearning #DeepLearning #AIResearch #AVControllers

🚦 Excited to share our latest research on modeling human behavior in traffic! 🚗 Our whitepaper, "Achieving Realism in Traffic Simulations: Performance of a Cognitive Behavior Model on the Waymo Open Sim Agent Challenge" is now available. We introduce the cogniBOT system, a novel approach that merges rule-based and machine learning techniques to create a comprehensive model of human driving behavior. Unlike traditional methods, cogniBOT can simulate both standard and critical driving situations with remarkable accuracy, all while using significantly fewer parameters. Key highlights: - Competitive performance in the Waymo Open Sim Agent Challenge - Realistic simulation of driver interactions and rare events - Transparent, explainable models with low computing requirements Check out the full whitepaper here: https://lnkd.in/dgvrQdK8 #trafficsimulation #cognitivemodeling #artificialintelligence #perception #futureofdriving #automotiveai #vehiclesafety #cognition #autonomousdriving #simulation #autonomousvehicle #autonomous #agentsimulation

In an exclusive interview with Sally Ward-Foxton of EE Times | Electronic Engineering Times, Ambarella CTO, Les Kohn, discusses multimodal LLMs and their impact on autonomous driving, robotics and computer vision. Kohn explains how our new AI developer platform, Cooper, was tailored for edge applications like robotics, including a new set of libraries and tools that enable LLMs to run efficiently on our new N1 processor, as well as smaller vision language models on the CV72 and CV75 SoCs. Regarding autonomous driving, Kohn said, “I do believe that to go to the higher levels of autonomy, beyond L3 or to make L3 more robust, you need to include something with more general world knowledge, which can understand complex scenarios and predict what you should do, more like a human,” adding that LLM-style models including large generative AI models based on transformers would fit the bill, since they can handle complex real-world scenarios. Read the full interview here: https://bit.ly/3Y5UcK3 #Ambarella #AI #AutonomousDriving #Robotics #LLM #GenerativeAI #ComputerVision #AIenvisioned #Innovation #Technology

Get ready to dive deep into the world of AI with these revolutionary projects! From redefining protein folding to pioneering autonomous driving, these initiatives are reshaping industries and pushing the boundaries of technology. Join us as we explore the future of AI and its transformative impact on our world.🤖👩💻 #codezilla #airevolution #futuretech #aiprojects #innovationnation #techtransformation #aiprojects #industrydisruption #techboundaries #aiexploration #futureofai #techimpact #techevolution #futuretech #industryinnovation #techtransformation #innovativeai #airevolution #cuttingedgetech #industrydisruption #aiadvancements

"🚀 To all Royal Holloway alumni with an interest in AI! Join us for an exclusive #AIWorkshopRHUL at your alma mater. Reconnect, gain cutting-edge insights, and enjoy a delightful dinner in our beautiful Picture Gallery after the sessions. Let's explore new opportunities for collaboration! 🤖 #AIAlumniRHUL #StayConnected #Networking"

⭐️🦾Tom Ziemke is a professor of Cognitive Systems at Linköping University. His research focuses on the role of the body in human cognition and social interactions, particularly on how people interact with autonomous systems, such as social robots and self-driving vehicles, contributing to the field of social robotics and embodiment. Tom has used Furhat in his research on robotics in therapy for older adults, exploring their perception of the Furhat robot, as well as studying prototypes of intelligent virtual agents (IVA) designed to transition from one embodiment to another. 🚀Tom's latest work aims to answer the question of how long-term interaction experience with automated shuttle buses shapes cyclists' attitudes and was presented at #HRI 2024. We were delighted to see you there and want to wish you good luck continuing your work, Tom! #SocialRobotics #ConversationalAI #AIforBusiness #TechInnovation #FutureTech #ArtificialIntelligence #HumanRobotInteraction #Chatbots #MachineLearning #DigitalTransformation #TechStartups #InnovationInAI #RoboticsIndustry #Automation #TechLeadership #DigitalAssistant #Industry40 #AIApplications #SmartTechnology #TechSolutions #Innovation #Tech

🚀 Exciting News! Meta has launched the Segment Anything Model 2 (SAM2) 🌟, a groundbreaking advancement in image segmentation technology! With an impressive dataset of over 11 million images and 1.1 billion segmentation masks, SAM2 can identify and segment objects in any image with a single click. 🖼️ This innovative tool is set to revolutionize fields from autonomous vehicles 🚗 to medical imaging 🏥, making object identification faster and more accurate than ever before. The best part? SAM2 is available under an open-source license, encouraging further research and development in the AI community. 🌐 Check out the full details and see it in action here: Meta Segment Anything 2 #MetaAI #SegmentAnythingModel #Innovation #AI #MachineLearning #cv #computervision #objectdetection

#AIMERS Society - Artificial Intellingence Medical and Engineering Researchers Society Succussfully completed my third task- Yolo object detection video 🚀 Excited to share our latest project showcasing the power of YOLOv8 in object detection! 🌟 In this video, you'll see how YOLOv8's advanced deep learning architecture is pushing the boundaries of real-time object detection. From detecting multiple objects in complex environments to achieving high accuracy with minimal latency, YOLOv8 is a game-changer for various applications like autonomous driving, surveillance, and more. #APSCHE #YOLOv8 #ObjectDetection #DeepLearning #AI #MachineLearning #ComputerVision #Innovation #Technology

🚀 Exciting Update! 🌟 I'm here to share the news about my latest article, titled "Development of rapidly exploring random tree-based autonomous mobile robot navigation and velocity predictions using K-nearest neighbors with fuzzy logic analysis." It is now officially published in the distinguished International Journal on Interactive Design and Manufacturing (IJIDeM), Springer Nature. 🔍 This exploration into the autonomous mobile robots has been a captivating venture. Employing ML methodologies, like K-nearest neighbors with fuzzy logic analysis, has uncovered avenues for the field of autonomous mobile robot navigation. 🙌 A big thanks to the teams at IJIDeM and Springer Nature for their unwavering support throughout this publication process. 🔗 Dive into the full article here: https://lnkd.in/gHtu4cBU 🌐 Your support and feedback are crucial! Join me in exploring the captivating landscape and collectively redefine the boundaries of knowledge and drive innovation in the field of Robotics. 🤖 👏 Gratitude to everyone who has been part of this incredible journey! #Research #Robotics #Innovation #PublishedArticle #AcademicAchievement

🔍 Exciting Developments in Computer Vision! 🔍 🌟 Imagine a world where machines can recognize faces, detect anomalies in medical images, or navigate autonomous vehicles through busy streets. This is the power of Computer Vision in action! 💡 Let's ignite our curiosity and spark conversations that inspire innovation. Whether you're a seasoned professional or an aspiring enthusiast, there's always something new to learn and contribute in the dynamic realm of Computer Vision. Are you ready to witness the future through the lens of Computer Vision? Let's embark on this exhilarating adventure together! For More Information visit: https://lnkd.in/dkeP2WVf #ComputerVision #AI #Innovation #Tech #FutureTech #ArtificialIntelligence #MachineLearning #ImageRecognition #ObjectDetection