FCPNet: A novel model to predict forward collision based-upon CNN

Author:

Olou Herve B.1,Ezin Eugene C.1,Dembele Jean Marie2,Cambier Christophe3

Affiliation:

1. Institut de Mathématiques et de Sciences Physiques, University of Abomey-Calavi,Porto-Novo,Benin

2. Unité de Formation et de Recherche de Sciences Appliquées et de Technologies, University of Gaston Berger,Saint-Louis,Senegal

3. Unité de Modélisation Mathématique et Informatique des Systémes Complexes, Institut de Recherche pour le Dèveloppement,Dakar,Senegal

Publisher

IEEE

Reference28 articles.

1. Front collision warning based on vehicle detection using CNN

2. Vision‐based approach for predicting the probability of vehicle–pedestrian collisions at intersections

3. You only look once: Unified, real-time object detection;redmon;arXiv preprint arXiv 1506 02349,2015

4. Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness;nikolai;2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2017

5. The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches;alom;arXiv 1803 01164,2018

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1. Object Detection, Recognition, and Tracking Algorithms for ADASs—A Study on Recent Trends;Sensors;2023-12-31

2. Global Motion Planning for Unmanned Aerial Vehicle Automation;2023 6th International Conference on Intelligent Autonomous Systems (ICoIAS);2023-09-22

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