Connected Cars - IoT Robodrive
Explore RoboDrive Technology for geo-distributed analytics in autonomous driving. Learn about technical challenges and solutions for setting up platforms in this emerging field.
Roadblocks to Autonomous Driving
Exploring the gradual transition to autonomous vehicles, discussing challenges and milestones in the journey towards self-driving cars in future cities.
Our Robot Future - A Day in the Life in 2030
Explore a futuristic vision of daily life in 2030, featuring insights on robotics, work, and technology from industry experts. Discover potential impacts on jobs, services, and human experiences.
Don't Look Now - What Cars Will Mean to Us 20 Years Down the Road
Exploring the future of cars: from prized possessions to autonomous hubs. Experts discuss how vehicles may evolve into entertainment centers and connected lifestyle focal points in the coming decades.
Charlas - Alison Orellana Rios: OCR, Reconocimiento y obtención de información a través de imágenes
Explora el reconocimiento de patrones y texto en imágenes usando OpenCV y Tesseract con Python. Aprende técnicas de visión artificial aplicables en industrias como automoción, robótica y procesamiento de datos.
Transforming Autonomous Driving with Large Language Models and Generative AI
Explore cutting-edge AI models LINGO and GAIA, revolutionizing autonomous driving with advanced language processing, visual interpretation, and realistic scenario generation for enhanced safety and decision-making.
From the Racetrack to the Road - How Open Source Boosts Autonomous Vehicle Development
Discover how autonomous racing technology at speeds of 270kph translates to everyday vehicles, exploring open-source collaboration and ROS 2's role in advancing self-driving capabilities.
Integrating Julia for Perception Tasks in Autonomous Driving
Explore Julia's potential in autonomous driving perception tasks, from LIDAR processing to ML algorithm development and integration in real vehicles.
The Rise of Neural Priors
Explore neural priors as a solution to AI challenges, including data scarcity and bias. Learn about their applications in augmented reality, autonomous driving, and signal recovery.
Innovations in STEM: Racing Towards a Safer Future
Exploring technological advancements in autonomous driving and micro-mobility to enhance road safety. From racetracks to urban planning, innovations in STEM are shaping a smarter, safer future for transportation.
Open Source and Open Collaboration in the Automotive Industry - Eclipse Foundation Framework
Discover how open source software is transforming the automotive industry through collaborative frameworks, working groups, and projects that drive innovation in automated and connected vehicle technologies.
Driving the Automotive Industry Into the Future With Open Source
Explore how open source software is transforming automotive development through Eclipse Foundation's framework for collaboration, innovation, and standardization in connected cars and autonomous driving.
Learning In-the-Wild Sensor Simulation for Autonomous Driving
Explore cutting-edge sensor simulation techniques for autonomous driving. Learn to create digital twins, manipulate scenarios, and generate realistic multi-sensor simulations to enhance self-driving vehicle development.
Deep Learning for Self-Driving Cars
Explore deep learning's role in autonomous driving software, addressing challenges and research in reducing traffic fatalities through AI-driven solutions.
Outracing Champion Gran Turismo Drivers With Deep Reinforcement Learning
Explore deep reinforcement learning techniques used to train AI agents that outperform world-class e-sports drivers in Gran Turismo racing simulations.
Where's the Road? The Challenge of Autonomous Driving Perception in Winter
Explore challenges and advancements in autonomous driving during harsh Canadian winters, focusing on perception tasks and all-weather autonomy solutions.
The Key to Remote Vehicle Control - Autonomous Driving Domain Controller
Explore security risks in autonomous driving controllers, including hardware structure, testing methods, and potential vulnerabilities. Learn to extract AI models and control vehicles remotely.
Building Bridges: Leveraging C++ and ROS for Simulators, Sensor Data and Algorithms
Explore C++ and ROS integration for robust robotics simulation, focusing on communication bridges, deterministic execution, and cross-simulator compatibility. Enhance autonomous driving applications with scalable testing frameworks.
Domain Adaptation on Wheels: Closing the Gap to the Open-world
Explore domain adaptation techniques for autonomous driving, from standard unsupervised setups to practical approaches addressing open-world challenges in semantic segmentation and scene understanding.
Will AI Stay Dumb for the Lack of Memory and Storage? - Impact of Storage Technologies on AI Development
Explore the critical relationship between AI advancement and data storage limitations, examining how memory constraints could impact AI's future development and potential solutions.