Welcome to ICVAD 2026

2026 International Conference on Computer Vision, Autonomous Driving and Object Detection

Scopes
(Including but not limited to the following topics)
Track 1: Computer Vision
Active Vision and Robot Vision
Biometric Authentication
Camera Networks and Vision
Cognition and Bionic Vision
Applications of Fuzzy and Neural Network Technologies in Vision
Face and Gesture Recognition
Image Feature Extraction
Innovative Visual Applications and Case Studies
Machine Learning Techniques for Vision
Object Recognition
Sensors and Primary Vision
Track 2: Autonomous Driving
Autonomous Computing
Vehicle Internet of Things
Edge Computing
Vehicle Sensor Fusion
Vehicle Control and Motion Planning
Vehicle Scheduling
High-Performance Embedded Computing
Decision and Planning
Object Tracking/Recognition
Sensor Signal Processing
Intelligent Transportation System
Road Transportation Management
Transportation Network
Intelligent Sensors
Sensor Fusion Technology
Vision and Environmental Perception
Intelligent Driving Algorithms
Track 3: Object Detection
Optical Sensors and Multispectral Imaging
Target Detection in Visible Light and Near-Infrared Spectra
Target Detection Based on Optical Imaging
Lidar (LiDAR) and Optical Radar
Application of Lidar in Autonomous Driving
Signal Processing and Object Recognition of Optical Radar
Target Recognition Based on Holographic Imaging
Optical Microscopy Imaging and Object Recognition
Optical Feature-Based Object Detection
OCT Technology in Industrial Inspection
Optical Characteristics and Material Recognition
Computational Imaging and Optical Coding
Real-Time Optical Monitoring and Detection Systems
Quantum Optics and Object Recognition
Optical Augmented Reality (AR) and Virtual Reality (VR)
Machine Learning and Artificial Intelligence in Optical Technologies
Object Detection in Autonomous Vehicles
Human-Computer Interaction Object Recognition System
Important Dates | 重要日期
  • Submission Deadline: 2026.7.25
  • Registration Deadline: 2026.8.1
  • Conference Date: 2026.8.9
  • Notification Date: About a week after the submission
Submission Portal | 投稿方式

Mail Address:  iptam_info@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

徐老师
  • +86-15680829715(微信同号)
  • 1347638002
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Indexing Service | 索引服务