End to end collision avoidance based on optical flow and neural networks
Optical flow is believed to play an important role in the agile flight of birds and insects. Even though it is a very simple concept, it is rarely used in computer vision for collision avoidance. This work implements a neural network based collision avoidance which was deployed and evaluated on a so...
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creator | Blumenkamp, Jan |
description | Optical flow is believed to play an important role in the agile flight of
birds and insects. Even though it is a very simple concept, it is rarely used
in computer vision for collision avoidance. This work implements a neural
network based collision avoidance which was deployed and evaluated on a solely
for this purpose refitted car. |
doi_str_mv | 10.48550/arxiv.1911.08582 |
format | Article |
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birds and insects. Even though it is a very simple concept, it is rarely used
in computer vision for collision avoidance. This work implements a neural
network based collision avoidance which was deployed and evaluated on a solely
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birds and insects. Even though it is a very simple concept, it is rarely used
in computer vision for collision avoidance. This work implements a neural
network based collision avoidance which was deployed and evaluated on a solely
for this purpose refitted car.</description><subject>Computer Science - Computer Vision and Pattern Recognition</subject><subject>Computer Science - Learning</subject><subject>Computer Science - Robotics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81KAzEUhbPpQqoP4Kp5gRnzP8lSSrVCwU33w53cDARjUjLTVt_esbr6OIfDgY-QR85aZbVmT1C_4qXljvOWWW3FHdnvMtK50LDAl5TiFEumcCkRIftAB5gC0qUqpzl6SHRM5UphWedwrkvOYb6W-jHdk9UIaQoP_1yT48vuuN03h_fXt-3zoQHTiYaHgA4GJodOOe6sMAa9dMhGz6yTnfVGoTEdaqEdVwqsV8pwA4IL4RXKNdn83d5U-lONn1C_-1-l_qYkfwBVCEWw</recordid><startdate>20191106</startdate><enddate>20191106</enddate><creator>Blumenkamp, Jan</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20191106</creationdate><title>End to end collision avoidance based on optical flow and neural networks</title><author>Blumenkamp, Jan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-1eed9ab03b749198266dc39d0fc089378c64d667d5259144a8c44616a2122c4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Science - Computer Vision and Pattern Recognition</topic><topic>Computer Science - Learning</topic><topic>Computer Science - Robotics</topic><toplevel>online_resources</toplevel><creatorcontrib>Blumenkamp, Jan</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Blumenkamp, Jan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>End to end collision avoidance based on optical flow and neural networks</atitle><date>2019-11-06</date><risdate>2019</risdate><abstract>Optical flow is believed to play an important role in the agile flight of
birds and insects. Even though it is a very simple concept, it is rarely used
in computer vision for collision avoidance. This work implements a neural
network based collision avoidance which was deployed and evaluated on a solely
for this purpose refitted car.</abstract><doi>10.48550/arxiv.1911.08582</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Robotics |
title | End to end collision avoidance based on optical flow and neural networks |
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