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Commit 3036c56a authored by Fahimeh Farahnakian's avatar Fahimeh Farahnakian :speech_balloon:
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Update README.md

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...@@ -54,6 +54,11 @@ according to the number of occupied pixels in the annotated ...@@ -54,6 +54,11 @@ according to the number of occupied pixels in the annotated
bounding box. Experiments show that Faster R-CNN with bounding box. Experiments show that Faster R-CNN with
ResNet101 as feature extractor outperforms the other algorithms. ResNet101 as feature extractor outperforms the other algorithms.
![Image description](fig5.jpg)
Fig. 5. The proposed (a) Color-based (b) Sparse LiDAR-based (c) Dense LiDAR-based and (d) Color and dense LiDAR based frameworks.
# An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environmentt [6]: # An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environmentt [6]:
Robust real-time object detection and tracking are Robust real-time object detection and tracking are
challenging problems in autonomous transportation systems challenging problems in autonomous transportation systems
...@@ -77,7 +82,7 @@ results in maritime environments. ...@@ -77,7 +82,7 @@ results in maritime environments.
![Image description](figure4.jpg) ![Image description](figure4.jpg)
Fig. 4. Mapping the detected objects by all sensors on (a) radar coordinates and (b) RGB camera image. ’F’ box in the bottom left corner of Fig. 5. Mapping the detected objects by all sensors on (a) radar coordinates and (b) RGB camera image. ’F’ box in the bottom left corner of
each figure indicates the location of the ferry. each figure indicates the location of the ferry.
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