From f4d60a6cd1e1d8810cf4b9ad7f63a8718069f73a Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Mon, 4 Sep 2023 22:03:46 +0200
Subject: First work on new AR pipeline architecture. Class renaming and
 replacing.

---
 docs/user_guide/ar_environment/environment_exploitation.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'docs/user_guide/ar_environment/environment_exploitation.md')

diff --git a/docs/user_guide/ar_environment/environment_exploitation.md b/docs/user_guide/ar_environment/environment_exploitation.md
index 28d61b9..9e4b236 100644
--- a/docs/user_guide/ar_environment/environment_exploitation.md
+++ b/docs/user_guide/ar_environment/environment_exploitation.md
@@ -1,19 +1,19 @@
 Environment exploitation
 ========================
 
-Once loaded, [ArEnvironment](../../argaze.md/#argaze.ArFeatures.ArEnvironment) assets can be exploited as illustrated below:
+Once loaded, [ArCamera](../../argaze.md/#argaze.ArFeatures.ArCamera) assets can be exploited as illustrated below:
 
 ```python
 # Access to AR environment ArUco detector passing it a image where to detect ArUco markers
-ar_environment.aruco_detector.detect_markers(image)
+ar_camera.aruco_detector.detect_markers(image)
 
 # Access to an AR environment scene
-my_first_scene = ar_environment.scenes['my first AR scene']
+my_first_scene = ar_camera.scenes['my first AR scene']
 
 try:
 
      # Try to estimate AR scene pose from detected markers
-     tvec, rmat, consistent_markers = my_first_scene.estimate_pose(ar_environment.aruco_detector.detected_markers)
+     tvec, rmat, consistent_markers = my_first_scene.estimate_pose(ar_camera.aruco_detector.detected_markers)
 
      # Project AR scene into camera image according estimated pose
      # Optional visual_hfov argument is set to 160° to clip AOI scene according a cone vision
-- 
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