Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning

Keyphrases

• Sense Modalities 100%
• Optimization Theory 100%
• Sensor Calibration 100%
• Via Optimization 100%
• Self-supervised Learning 100%
• Adaptation 50%
• Physical Properties 50%
• Environmental Conditions 50%
• Autonomous Robots 50%
• Controlled Environment 50%
• Redundancy 50%
• Semantic Information 50%
• Regular Basis 50%
• Operating Conditions 50%
• System Usability Scale 50%
• Geometric Transformation 50%
• Calibration Error 50%
• Transformation Approach 50%
• Cost Minimization 50%
• Environmental Features 50%
• Reliable Operation 50%
• Accurate Perception 50%
• Online Optimization 50%
• Safe Operation 50%
• Calibration Method 50%
• Sensor Fusion 50%
• Robust Perception 50%
• Autonomous Driving System 50%
• Direct-on-line 50%
• Joint Calibration 50%
• Targetless 50%
• Knowledge Property 50%
• Overall System 50%
• Targetless Calibration 50%
• Performance System 50%

Computer Science

• multi sensor 100%
• Self-Supervised Learning 100%
• Optimization Theory 100%
• Autonomous Driving 50%
• Usability Systems 50%
• Reliable Operation 50%
• Distinctiveness 50%
• Geometric Transformation 50%
• Operational Condition 50%