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Learn Autonomous Vehicles, earn certificates with free online courses from Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Explore the unexpected challenges in commercializing self-driving technology, focusing on mindset and legal hurdles rather than technical aspects.
Explore cutting-edge machine learning applications in autonomous vehicle technology through insights from Waymo's expert Dr. Dragomir Anguelov at INSAIT 2022.
Explore real-world scenario extraction for self-driving vehicles. Learn methods to analyze and structure time-series data, classify states and events, and assess traffic behavior for autonomous driving validation.
Explore the convergence of AI, cybersecurity, and connected cars, uncovering trends and challenges shaping the future of autonomous transportation and its security implications.
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.
モビリティ分野の技術革新と社会的影響を探求。電化とオートメーションに焦点を当て、安全でクリーンな未来のモビリティを考察。360度ビデオ体験を含む実践的な学習。
모빌리티 분야의 기술 혁신과 사회적 영향을 탐구하며, 전동화와 자동화를 중심으로 안전하고 깨끗한 미래 교통 시스템의 가능성을 살펴봅니다.
智能车辆工程专业课程。通过学习,使学生掌握智能车辆的知识、理解智能车辆控制理论,具备智能汽车行为决策与智能控制、Apollo运用等能力,对从事自动驾驶领域研究提供帮助。
Dive into comprehensive autonomous vehicle technologies, from environmental perception and deep learning to SLAM, decision-making, motion planning, and connected vehicle systems.
Master 无人驾驶汽车的核心技术原理,从基础理论到实践应用,通过K60单片机编程实现智能车控制,掌握GPS导航、传感器应用及未来发展趋势。
Dive into autonomous driving technology through comprehensive coverage of perception, decision-making, and control systems, with practical industry applications and real-world case studies from experienced researchers.
Explora la evolución del transporte verde, vehículos conectados y autónomos, su impacto en la sociedad y el medio ambiente, y los desafíos tecnológicos, éticos y legales asociados.
Dive into autonomous driving control algorithms, covering path planning, vehicle dynamics, and control system design for developing self-driving vehicle technology.
Discover the latest autonomous driving deep learning models and innovations from Silicon Valley, featuring insights from a former Tesla Autopilot R&D expert and current Phantom AI CEO.
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.
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