Explicando el Sistema de un Vehículo Autónomo con Python
Desmitificación del funcionamiento de vehículos autónomos usando Python. Exploración de frameworks como ROS, comunicación entre sensores y conceptos de ingeniería de software para sistemas en tiempo real.
IMU Preintegrated Features for Efficient Deep Inertial Odometry
Explore efficient deep inertial odometry using IMU preintegrated features. Learn about measurement errors, problem statement, evaluation, training, and results in human walking applications.
Sensor Fusion Using Machine Learning for Smart Forehead Temperature Sensing
Explore sensor fusion for efficient forehead temperature sensing using machine learning, combining FIR and CMOS sensors with ultra-low-power processing for COVID-19 screening applications.
Axis IMU - Accurate and Stable Tilt Using Accelerometers, Gyros and a Complimentary Filter
Learn to achieve stable and responsive tilt measurements using accelerometers, gyros, and a complimentary filter for accurate pitch and roll approximation in IMU applications.
Sensor Fusion
Explore sensor fusion through biological and electronic perspectives, comparing information processing, filtering techniques, and real-world applications in this insightful presentation.
Introduction to FPV Drones
Explore FPV drone flight controllers, IMUs, sensor fusion, control systems, and PID. Learn about digital signal processing, filtering, and firmware for advanced drone piloting.
Fusion of Sensors and Robots for Cyber-Physical Systems
Explore innovative sensor-robot fusion and AI integration for adaptive robotics in variable environments, showcasing SSES research and open software development.
Perception and Manipulation in Robotics - Session 14
Explore cutting-edge advancements in robotic perception and manipulation techniques, focusing on innovative approaches to enhance machine vision and dexterity in various applications.
Probabilistic and Machine Learning Approaches for Autonomous Robots and Automated Driving
Explore probabilistic and machine learning approaches for autonomous robots and automated driving, focusing on robust perception and action execution in uncertain environments.
Zenseact Open Dataset for Advancing Autonomous Driving
Explore the Zenseact Open Dataset's role in advancing autonomous driving technology. Learn about its creation, features, and applications in ongoing research projects.
Alan Yates on the Impossible Task of Making Valve's VR Work
Dive into the engineering challenges and innovative solutions behind Valve's VR Lighthouse system, exploring its conceptual elegance and technical intricacies.
AR Perception in Augmented Reality - Session 29
Explore cutting-edge advancements in augmented reality perception, focusing on innovative techniques and technologies shaping the future of immersive experiences.
Machine Learning for Autonomous Driving
Explore cutting-edge machine learning applications in autonomous vehicle technology through insights from Waymo's expert Dr. Dragomir Anguelov at INSAIT 2022.
Reliable Object Detection and Identification in Adverse Conditions
Explore radar-based perception systems for autonomous vehicles, focusing on reliable object detection in adverse weather conditions and multi-sensor fusion techniques for enhanced safety.
Driving with Attention
Explore innovative sensor fusion techniques for autonomous driving, focusing on TransFuser and NEAT models that leverage attention mechanisms to improve perception and decision-making in complex traffic scenarios.
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition Using Hyperdimensional Computing
Memory-efficient hand gesture recognition using hyperdimensional computing and sensor fusion. Improves accuracy by 17.79% while reducing memory footprint, addressing limb position changes for human-machine interfaces and prosthetics.
Perception and Collaboration in Robotics - Session 18
Explore cutting-edge research on perception and collaboration in robotics and AI, focusing on advancements in sensing, decision-making, and multi-agent systems.
Tracking Techniques in Computer Vision - Session 25
Explore advanced tracking techniques and algorithms for object detection and motion analysis in computer vision applications.
Blue Note - How Intentional Acoustic Interference Damages Availability and Integrity in Hard Disk Drives and Operating Systems
Explores how acoustic interference can damage hard drives, causing data corruption and system failures. Presents findings on vulnerabilities and proposes mitigation strategies for legacy systems.
Python in Hardware and Embedded Systems - A Deep Dive
Discover how Python revolutionizes embedded systems development, from MicroPython to robotics applications, exploring hardware interfaces, sensor integration, and real-world implementations in drones and wearables.
Fusion of Sensors and Robots: A Framework for CPS and Edge Computing
Discover how sensor fusion and AI integration enable robots to adapt to variable environments, exploring an innovative open software framework for advanced robotics control.