2017 IEEE Symposium Series on Computational Intelligence (SSCI) 2017
DOI: 10.1109/ssci.2017.8280990
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Obstacle detection in outdoor scenes based on multi-valued stereo disparity maps

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Cited by 2 publications
(3 citation statements)
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“…Some studies have proposed the utilisation of stereoscopic imagery to create depth image information via the use of occupancy disparity maps. This allows for such systems to perform obstacle detection based on generated depth information [9,13]. Similar to many other road scene analysis systems, these systems also utilise information obtained from various pieces of sensor hardware.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Some studies have proposed the utilisation of stereoscopic imagery to create depth image information via the use of occupancy disparity maps. This allows for such systems to perform obstacle detection based on generated depth information [9,13]. Similar to many other road scene analysis systems, these systems also utilise information obtained from various pieces of sensor hardware.…”
Section: Related Workmentioning
confidence: 99%
“…Similar to many other road scene analysis systems, these systems also utilise information obtained from various pieces of sensor hardware. They create occupancy disparity maps that, when overlaid with the original RGB images, can provide probabilities of how far away various objects are from the vehicle [9].…”
Section: Related Workmentioning
confidence: 99%
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