AMD’s Post

AMD Eyeonic Vision Sensor using SoCs

CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/d8wSrdh6 https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

Cron AI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about Cron AI: https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/e899xzTU https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/dWEWKfGu https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about Cron AI : https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/d8wKDhm2 https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

Friday Sneak Peek: Unveiling 📡Radar-Based SLAM 🗺️ 💥 In a previous post we have shown our our advancements with LiDAR based localization and mapping, but today, we’re excited to reveal something new: 📡Radar-Based SLAM 🗺️ (Simultaneous Localization and Mapping). Take a look at this fascinating video 🎥 created by our talented colleague, Marco de Böck. 📍Driving through the always-busy campus of Delft University of Technology, notice how our innovative radar-only method reliably maps the environment over time, and estimates the car's position and velocity correctly despite the numerous moving objects (so many cyclists in the Netherlands 🇳🇱🚴♀️!). Remember, only radar is used to do this, no camera, no gps, no lidar, not even IMU. Why is radar-only ego-pose and velocity estimation is so important? 🔹 Increased Redundancy for Localization: It serves as an additional input for localization, crucial in GPS-denied areas like parking garages or in adverse weather. 🔹 Ego-Motion Compensation: Radar uniquely measures the velocity of objects relative to the vehicle. However, how to tell if the ego-car is moving, or the cyclist ahead of us? To do this, we need to know our own velocity first. By doing radar SLAM, we achieve that without depending on other sensors, making our system independent. 🔹 Enhanced Scene Awareness: A detailed map of both moving and static objects provides valuable data to our AI-driven, scene-aware radar perception stack, enhancing performance and safety. Stay tuned as we continue to extend the capabilities of radar technology at Perciv AI, and congrats to Marco de Böck for the nice work! #ai4radar #perceptionradar #perciv #SLAM #radar_only #RadarTechnology #AI #AutonomousDriving #Innovation #PercivAI #TUDelft Andras Palffy Srimannarayana Baratam Balazs Szekeres

Imagine a world where your car can merge through heavy traffic effortlessly. ---- Traditional Methods Are Outdated.  Boost Your Productivity Tenfold with AI Tools. Join 30,000+ Professionals for Exclusive Insights on AI Business, Productivity, and Marketing. Start transforming your journey today —> https://lnkd.in/eqg2BJdQ  ---- The Kodiak Driver reacts instantly to slowdowns, changing lanes smoothly to avoid congestion. Its advanced AI keeps everyone on the road safer by anticipating traffic flow. Kodiak Vision uses cameras, LiDAR, and radar to create a real-time picture of traffic flow. This allows the Kodiak Driver to anticipate slowdowns and react faster than a human driver. Kodiak's AI continuously learns from real and simulated traffic jams, ensuring smooth, safe lane changes even in heavy traffic.

Watch code-along videos to learn how to apply deep learning to lidar processing. #wireless #ai #MATLAB