RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT

2 code implementations • 24 Apr 2022 • Zhuohao Li, Fandi Gou, Qixin De, Leqi Ding, Yuanhang Zhang, Yunze Cai

Innovation of our method is using information fusion to compensate the problem of insufficient frame rate of output image, and improve the robustness of target detection and depth estimation under monocular vision. Object Detection is based on YOLO-v5.

Autonomous Driving Depth Estimation +3

A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability

no code implementations • 10 Oct 2021 • Xiangxiang Dong, Giorgio Battistelli, Luigi Chisci, Yunze Cai

This paper addresses state estimation of linear systems with special attention on unknown process and measurement noise covariances, aiming to enhance estimation accuracy while preserving the stability guarantee of the Kalman filter.