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Found 6 papers, 2 papers with code
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
In this paper, we propose a novel learning framework, where the weak labels are first used to train a multi-view video-based base model, which is subsequently used for downstream frame-level perception tasks.
A Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition
In the framework, a novel deep latent embedding framework, termed the AVTNet, is proposed to learn multiple latent embeddings.
Self-Scheduling Robust Preview Controllers for Path Tracking and Autonomous Vehicles
In this study, we detail the procedures for designing gain scheduling controllers by Linear Quadratic $H_\infty$ robust optimization methods in Linear Matrix Inequalities (LMI) framework.
Optimization and Control
Principal Model Analysis Based on Partial Least Squares
Motivated by the Bagging Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method in this paper.
IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation
Context enhancement is critical for night vision (NV) applications, especially for the dark night situation without any artificial lights.
A Tutorial On Autonomous Vehicle Steering Controller Design, Simulation and Implementation
In this tutorial, we detailed simple controllers for autonomous parking and path following for self-driving cars providing practical methods for curvature computation.
Robotics
