Persival GmbH’s Post

Leveraging Nautis simulator with generative AI to get one step closer to the singularity 🚢

Its exciting to watch Terra AI from Stereolabs take shape on their website! #SpatialAI is finally mature enough for widespread adoption by autonomous robots and they're leading the charge powered by NVIDIA Robotics Jetson boards. As expert roboticists, we recognize the unique challenges inherent with deploying and managing modern AI-based perception systems (doing far more than just 2D detection and segmentation), so having partners like Stereolabs is critical to accelerating your #ROS, #Nav2, or other product to market. I can't wait for a future where Nav2 and autonomy frameworks are managing the standardized outputs of dense and semantic environmental models from #TerraAI and others for our planning, control, behaviors, or even higher level #AI application systems! There will be so much more we can do to make robots safer, more reliable, and more intelligent. Definitely check out the great videos they have there!

Captain AI and VSTEP Simulation are revolutionizing Maritime Machine Vision by leveraging the Nautis simulator alongside Generative AI to generate infinite datasets for Machine Vision AI models! This collaboration combines VSTEP's state-of-the-art simulation capabilities with Captain AI's expertise in autonomous navigation and situational awareness, overcoming the traditional data collection methods' limitations such as stereo cameras and LiDAR. While these methods are effective, they often incur high costs, complex setups, and fail to fully capture critical edge cases. This breakthrough is a significantly more cost-effective and scalable alternative to real world data collection. “We're pioneering a method for generating accurate 3D spatial data for single-view cameras” said the CTO Gerard Kruisheer “setting a new benchmark for efficiency and simplicity in data collection”. This advancement will underpin Captain AI’s cutting-edge 3D bounding box detection model which is currently uder development and promises to be future foundation of maritime safety and operational intelligence.

🤖 Unlocking Robots' Vision: Their Perspective on the World! 🌍 Have you ever wondered how robots see the world around them? There is more to robot vision than simply cameras and sensors, therefore let's explore this intriguing field: 1️⃣ Lidar Technology Robots employ lidar, a technology that maps the surroundings in three dimensions using lasers. It is not without limits, though, particularly when it comes to identifying uneven or low-lying terrain. 2️⃣ The Isaac Perceptor System from NVIDIA: With the use of AI and many cameras, NVIDIA's Isaac Perceptor system is transforming robot vision. This makes it possible for robots to see in three dimensions, improving their comprehension of their surroundings. 3️⃣ Pioneers in the Industry: Additionally, businesses like Inovance Technology Europe and Boston Dynamics are expanding the capabilities of robot perception. Their sophisticated depth sensors and cameras help to enhance robot vision and intelligence. 4️⃣ Smart Cooperation: As robots' intelligence and vision grow, we are laying the groundwork for safer robot-human cooperation. Future developments might lead to more sophisticated and adaptable robots thanks to this breakthrough. Let's commemorate the incredible advancements in robot vision technology and the possible effects they may have on a range of sectors. Watch this space for further AI and tech upgrades! 🚀 #TechInnovation #AIProgress #RoboticsRevolution #FutureTech #TechProgress #RobotVision

What can we learn from #Tesla? With this question our CTO Dr.-Ing Shengguang Lei will break the ice at the opening event of #AutoAI this Sunday. He will be delighted to discuss with industry experts about: 🔸 What are the key differences between traditional algorithms and AI-based systems in the development of #ADAS technologies? 🔸 Is Tesla’s latest #FSD Version a sign that end-to-end models represent the future of Avs? 🔸 How much data is necessary to effectively train and implement an end-to-end #AutonomousDriving system? 🔸 In what ways can #LiDAR technology enhance the capabilities and safety of AVs? More information: https://lnkd.in/eSEs6yXa As a leading system solution provider based on LiDAR 3D sensing technology, LiangDao is proud to be a business partner of AutoAI for the first time. At the event we will showcase our comprehensive suite of products and services that support the intricate processes of ADAS/AD functions pre-development and series projects. Our team is looking forward to seeing you at the event! #AutoAI #AD #AI #Perception

Take a look at the features and benefits of CenoBots L50 20” autoscrubber. Your wallet will be happy with our value pricing and ROI. Let’s chat today. #CenoBots #autoscrubber #schoolcleaning #robots #autonomouscleaning

Unlocking Autonomy: Unleashing the Power of NVIDIA Jetracer My latest project is a testament to innovation and technological advancement, harnessing the capabilities of the NVIDIA Jetracer robot powered by ROS1 Melodic version. With cutting-edge materials including the NVIDIA Jetson Nano, RP Lidar, and Sony Camera Project Tasks: 1- SLAM Lidar Mapping: Harnessing advanced algorithms for simultaneous localization and mapping, we create detailed maps of our environment in real-time. 2- Robot Movement Control: With precise control mechanisms, we ensure smooth and accurate movement of the Jetracer robot, adapting to various terrains and obstacles. 3- Autonomous Navigation: Empowering the robot with the intelligence to navigate autonomously, making informed decisions based on environmental data. 4- OpenCV on ROS: Leveraging the power of OpenCV within ROS for tasks such as camera calibration, face detection, and motion detection, enhancing the robot's perception capabilities. Our project opens doors to endless possibilities in robotics and AI. From autonomous vehicles to smart surveillance systems, the applications are limitless. By pushing the boundaries of technology, we're paving the way for a future where robots seamlessly integrate into our daily lives, revolutionizing industries and enhancing efficiency. NVIDIA Jensen Huang #Nvidia #Robotics #Jetson_Nano #SLAM #LIDAR #AUTONOMUS #Navigation #OpenCV #IA

How Robots See the World?! Robots use sensors to "see," with lidar being a key one. Lidar creates a 3D map using lasers but can miss low obstacles or uneven ground. NVIDIA's Isaac Perceptor system uses cameras and AI for a complete view, giving robots 3D vision to measure distance and understand objects. Other companies like Boston Dynamics and Inovance are also improving robot vision with advanced cameras and depth sensors. Smarter robots with better vision mean safer human-robot collaboration and more intelligent, versatile robots in the future. Follow me for AI updates. #ai #tech #robotics #innovation #gtc2024

Exciting news from Teledyne FLIR, a part of Teledyne Technologies Incorporated, as they introduce the Teledyne FLIR AVP, a state-of-the-art video processor powering their Prism AI and computational imaging at the edge. This groundbreaking technology integrates the latest Qualcomm QCS8550 mobile processor chip, ensuring top-notch AI performance in a compact, energy-efficient module. The AVP revolutionizes thermal and visible camera integration across various platforms such as unmanned aerial vehicles, robotics, gimbals, handheld devices, and security systems. It leverages Teledyne FLIR’s Prism AI and ISP software libraries, interfacing seamlessly with Boson and Neutrino thermal infrared imaging camera modules along with popular visible cameras. Prism AI, trained on a vast thermal image data lake, offers robust perception capabilities for applications ranging from automotive autonomy to security systems. On the other hand, Prism ISP delivers advanced image processing algorithms vital for image enhancement and analysis. According to Dan Walker, Vice President of Product Management at Teledyne FLIR, the AVP sets new benchmarks in power efficiency and AI workload processing, promising up to five times faster performance compared to competitors. This advancement not only enhances system capabilities but also simplifies development processes and reduces integration risks. To experience the AVP firsthand, visit Teledyne's booth #702 at the SPIE, the international society for optics and photonics, Defense + Commercial Sensing Exhibition from April 23 to April 24, 2024. Stay updated with our blog for more insights into Teledyne FLIR’s cutting-edge technology and its impact across industries. #AvfoilNews #TeledyneFLIR #TeledyneTechnologies #PrismAI #AVP #InnovationAtTheEdge

#CIKM2024 Kudos to Sanjay Dharavath, lead author of this paper. 🚀 Excited to share our latest research paper on "Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs"! 🛤️ 🌟 Key Highlights: Innovative Fusion Process: We developed a two-stage fusion process leveraging adiabatic computing in quantum concepts to create the Global Adiabatic Transformer (GAT) for integrating sparse LiDAR features with dense image semantics. Sparse Expert of Local Fusion (SELF): This module maps sparse LiDAR 3D proposals and encodes position information onto dense camera feature space using a gating point fusion approach. Outstanding Performance: Q-ICVT achieved an mAPH of 82.54 for L2 difficulties on the Waymo dataset, improving by 1.88% over current state-of-the-art methods. Comprehensive Evaluation: Extensive ablation studies were conducted to highlight the impact of GAT and SELF on performance. 🔬 Our approach significantly improves 3D object detection in autonomous vehicles, ensuring better integration of local and global features for enhanced detection accuracy. 📊 Check out the full paper and code here: coming soon!!! #AutonomousVehicles #3DObjectDetection #QuantumComputing #VisionTransformers #Research #AI #MachineLearning