ROS Resources: Documentation | Support | Discussion Forum | Index | Service Status | ros @ Robotics Stack Exchange
Ask Your Question

Revision history [back]

Hi @sisko In this paper talks about the limitations with merger:

https://arxiv.org/pdf/1411.1086.pdf

The generation of the merged laser scan follows an initial phase in which all the laser scans to be merged are flattened to a single plane, which is the scanning plane of the destination (merged) laser scan. As a consequence, objects that would not be observable in the destination (merged) laser scan, but that are in some of the input scans, will (wrongly) appear in the final merged scan

So you might need to process the data, and decide how probable it's there, maybe, use 5 sampling before making a decision.

Hi @sisko In this paper talks about the limitations with merger:

https://arxiv.org/pdf/1411.1086.pdf

The "The generation of the merged laser scan follows an initial phase in which all the laser scans to be merged are flattened to a single plane, which is the scanning plane of the destination (merged) laser scan. As a consequence, objects that would not be observable in the destination (merged) laser scan, but that are in some of the input scans, will (wrongly) appear in the final merged scanscan"

So you might need to process the data, and decide how probable it's there, maybe, use 5 sampling before making a decision.

Hi @sisko In this paper talks about the limitations with merger:

https://arxiv.org/pdf/1411.1086.pdf

"The generation of the merged laser scan follows an initial phase in which all the laser scans to be merged are flattened to a single plane, which is the scanning plane of the destination (merged) laser scan. As a consequence, objects that would not be observable in the destination (merged) laser scan, but that are in some of the input scans, will (wrongly) appear in the final merged scan"

So you might need to process the data, and decide how probable it's there, there is an obstacle, maybe, use 5 sampling before making a decision.

Hi @sisko In this paper talks about the limitations with merger:

https://arxiv.org/pdf/1411.1086.pdf

"The generation of the merged laser scan follows an initial phase in which all the laser scans to be merged are flattened to a single plane, which is the scanning plane of the destination (merged) laser scan. As a consequence, objects that would not be observable in the destination (merged) laser scan, but that are in some of the input scans, will (wrongly) appear in the final merged scan"

So you might need to process the data, and decide how probable there is an obstacle, maybe, use 5 sampling before making a decision.

There is a great paper on the subject: https://www.researchgate.net/publication/342886778_Camera-Lidar_Integration_Probabilistic_sensor_fusion_for_semantic_mapping

Hi @sisko In this paper talks about the limitations with merger:

https://arxiv.org/pdf/1411.1086.pdf

"The generation of the merged laser scan follows an initial phase in which all the laser scans to be merged are flattened to a single plane, which is the scanning plane of the destination (merged) laser scan. As a consequence, objects that would not be observable in the destination (merged) laser scan, but that are in some of the input scans, will (wrongly) appear in the final merged scan"

So you might need to process the data, and decide how probable there is an obstacle, maybe, use 5 sampling before making a decision.

There is a great paper on the subject: https://www.researchgate.net/publication/342886778_Camera-Lidar_Integration_Probabilistic_sensor_fusion_for_semantic_mapping