All current Autonomous Vehicles Courses courses in 2024
55 Courses

Sensor Fusion and Multi-Object Tracking
Boost your career prospects by mastering the integration of data from various sensors, including radar, lidar, and cameras, to achieve precise object positioning and track moving objects accurately.
Designed for engineers in the automotive field, this course tackles the challenges of understanding traffic situations around autonomous vehicles. I.

Sensor Fusion and Multi-Object Tracking
Sensor Fusion and Multi-Object Tracking
Elevate your career prospects by mastering the art of integrating data from multiple sensors such as radar, lidar, and cameras to achieve accurate positioning and tracking of moving objects. This skill set is highly valuable for engineers working in the automotive industry, particularly those faced with the.

Self-Driving Car Specialization Course
Embark on a transformative journey into the cutting-edge world of self-driving cars through this comprehensive specialization. This course covers foundational principles and advanced decision-making required to design, implement, and test self-driving car technologies.
The curriculum begins with an introduction to autonomous vehicles, detailin.

AI for Autonomous Vehicles and Robotics
Immerse yourself in the transformative world where artificial intelligence meets autonomy in the course: AI for Autonomous Vehicles and Robotics. Offered by the University of Michigan, this course on Coursera provides a comprehensive journey into how machine learning algorithms are redefining autonomous systems. Explore the depths of supervis.

AI for Mechanical Engineers
AI for Mechanical Engineers is designed to empower mechanical engineering professionals with cutting-edge AI methodologies applicable in various domains. Offered by the University of Michigan on Coursera, this course series prepares you to integrate AI technologies effectively, enabling transformation in design processes, autonomous sys.

Future Automobiles
In the era of global industrial technological reform, characterized by low-carbonization, electrification, intelligence, and connectivity, smart electric vehicles are pivotal as mobile connected nodes, smart mobile terminals, and intelligent energy storage solutions. These vehicles play a crucial role in smart transportation, cities, and energy.

Advanced Driving Assistance System
Explore the main contents of this course, designed to provide a comprehensive understanding of driverless vehicles and their evolution. Learn the fundamental principles and key technologies behind autonomous vehicles, including environment perception, obstacle avoidance, and path planning.
Students will gain hands-on experience by constructing a.



智能网联车的原理及应用
(1) 讲解无人驾驶车辆定义、技术发展、未来趋势与发展热点,使学生了解无人驾驶及汽车的发展方向,拓展学生视野;
(2) 教授无人驾驶技术及原理,让学生掌握车辆涉及的关键技术,提升在该方面的研究水平;
(3) 学习并掌握传感器的基本理论知识,深入掌握单片机的开发应用和编程控制;
(4) 指导学生以 K60 系列单片机为车辆控制的 CPU,通过编程和外围电路设计实现智能小车.