Concept
Self-driving car
Related lectures (43)
Trajectory Forecasting in Autonomous Vehicles
Explores trajectory forecasting in autonomous vehicles, focusing on deep learning models for predicting human trajectories in socially-aware transportation scenarios.
Autonomous Vehicles: Trajectory Prediction and Social Behavior
Explores challenges in deep learning for autonomous vehicles, emphasizing social behavior modeling and feasible trajectory prediction.
Wireless Imaging with Analog Network Coding
Explores analog network coding for wireless imaging in challenging conditions, showcasing its potential in human pose reconstruction and self-driving cars.
Why Automatic Control
Highlights the superiority of automatic control systems over manual control in various applications.
Self-supervised Learning for Autonomous Vehicles
Explores self-supervised learning for autonomous vehicles, deriving labels from data itself and discussing its applications and challenges.
Ecological Impacts and Societal Model
Explores ecological impacts, societal models, technology, and regulations in transportation and energy.
DuckieTown Project
Explores the DuckieTown project, focusing on controlling vehicles to follow road lanes using different types of controllers.
AI Gamer: D4
Explores reinforcement learning in AI to master games using neural networks.
Intelligent Agents: Making Decisions and Planning
Covers intelligent agents, decision-making, planning, machine learning, and game theory.
Computer Vision: Fundamentals and Applications
Covers the fundamentals of computer vision, illusions, challenges, applications, and history.