A Lightweight Motional Object Behavior Prediction System Harnessing Deep Learning Technology for Embedded ADAS Applications

A Lightweight Motional Object Behavior Prediction System Harnessing Deep Learning Technology for Embedded ADAS Applications

This paper proposes a lightweight moving object prediction system to detect and recognize pedestrian crossings, vehicles cutting-in, and vehicles ahead applying emergency brakes based on a 3D Convolution network for behavior prediction. The proposed design significantly improves the performance of t...

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Bibliographic Details
Main Authors: Wen-Chia Tsai, Jhih-Sheng Lai, Kuan-Chou Chen, Vinay M.Shivanna, Jiun-In Guo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
behavior recognition
deep learning
embedded ADAS applications
lightweight CNN model
pedestrian detection
vehicle cut-in
Online Access:https://www.mdpi.com/2079-9292/10/6/692

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