Pan Wei
Mississippi State University
17 Papers
54 Citations
Pan Wei is an academic researcher from Mississippi State University. The author has contributed to research in topics: Lidar & Outlier. The author has an hindex of 6, co-authored 17 publications. Previous affiliations of Pan Wei include Amazon.com.
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Papers
LiDAR and Camera Detection Fusion in a Real-Time Industrial Multi-Sensor Collision Avoidance System
TL;DR: In this paper, the authors proposed a method for reducing false positive detection from the LiDAR by projecting the beacons in the camera imagery via a deep learning method and validating the detection using a neural network-learned projection from the camera to the Lidar space.
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Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection.
TL;DR: A new computational intelligence fusion approach based on the dynamic analysis of agreement among object detection outputs is proposed and is demonstrated in the context of cone, pedestrian and box detection for Advanced Driver Assistance Systems (ADAS) applications.
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•Posted Content
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System
TL;DR: A method for reducing false positive detection from the LiDAR by projecting the beacons in the camera imagery via a deep learning method and validating the detection using a neural network-learned projection from the camera to theLiDAR space is put forth.
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Closing the Wearable Gap: Mobile Systems for Kinematic Signal Monitoring of the Foot and Ankle
Tony Luczak,David Saucier,Reuben F. Burch V.,John E. Ball,Harish Chander,Adam C. Knight,Pan Wei,Tashfin Iftekhar +7 more
TL;DR: In this article, the authors investigated the use of liquid metal sensors, specifically Liquid Wire sensors, as a potential solution for accurately capturing ankle complex movements such as plantar flexion, dorsiflexion, inversion, and eversion.
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Deep Learning Hyperspectral Image Classification using Multiple Class-Based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations
John E. Ball,Pan Wei +1 more
- 11 Jul 2018
TL;DR: A novel hyperspectral data augmentation method for labelled HSI data using linear mixtures of pixels from each class, which helps the system with edge pixels which are almost always mixed pixels and a deep neural network and morphological hole-filling to provide robust image classification.
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