Merge pull request #3 from tfurf/patch-1

Fix DOI links in Terrain-Aided-Navigation-(TAN)-Senarios.md
Field-Robotics-Lab · Nov 27, 2023 · 9e287d2 · 9e287d2
2 parents a3ba54c + 36739ad
commit 9e287d2
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/contents/Terrain-Aided-Navigation-(TAN)-Senarios.md b/contents/Terrain-Aided-Navigation-(TAN)-Senarios.md
@@ -33,8 +33,8 @@ Introduces TAN development scenarios using Dave project incorporating various se
 
 
 ## Definitions
-- TAN uses an existing map of the seafloor and estimates the position of the vehicle on the map by matching bathymetry measurements from vehicle sensors with locations on the map with the same altitude (given operation depth). [Melo, J., & Matos, A. (2017). Survey on advances on terrain based navigation for autonomous underwater vehicles. Ocean Engineering, 139, 250-264.](https://doi.org/10.1109/AUV50043.2020.9267886)
-- TAN is a sensor-based navigation technique that bounds the error growth of dead-reckoning using a map with terrain information, provided that there is enough terrain variability. An obvious advantage of Terrain Based Navigation is the fact that no external aiding signals or devices are required. [Osterman, N., & Rhén, C. Exploring the sensor requirements for particle filter-based terrain-aided navigation in AUVs. In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043) (pp. 1-6). IEEE.](https://doi.org/10.1016/j.oceaneng.2017.04.047)
+- TAN uses an existing map of the seafloor and estimates the position of the vehicle on the map by matching bathymetry measurements from vehicle sensors with locations on the map with the same altitude (given operation depth). [Melo, J., & Matos, A. (2017). Survey on advances on terrain based navigation for autonomous underwater vehicles. Ocean Engineering, 139, 250-264.](https://doi.org/10.1016/j.oceaneng.2017.04.047)
+- TAN is a sensor-based navigation technique that bounds the error growth of dead-reckoning using a map with terrain information, provided that there is enough terrain variability. An obvious advantage of Terrain Based Navigation is the fact that no external aiding signals or devices are required. [Osterman, N., & Rhén, C. Exploring the sensor requirements for particle filter-based terrain-aided navigation in AUVs. In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043) (pp. 1-6). IEEE.](https://doi.org/10.1109/AUV50043.2020.9267886)
 
 ## Interfaces
 ![resources](https://docs.google.com/drawings/d/e/2PACX-1vQw6IixHBrj8z209umBjlr__jfWUeddNlnGIzbkpk9CeKo7XlRldaamlnnY-fu6GKDF1dSf3oGDGBWY/pub?w=960&h=720)