DTU running path dataset - Revision history

Jca: /* Images and annotations */

2025-08-14T07:50:53Z

Images and annotations

← Older revision		Revision as of 09:50, 14 August 2025
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	The images and annotations (8679 images) - in total 2.6 GB		The images and annotations (8679 images) - in total 2.6 GB

	http://aut.~~elektro~~.dtu.dk/staff/jca/dtu_running_path_dataset/running_path_data_set.tar.gz		http://aut.electro.dtu.dk/staff/jca/dtu_running_path_dataset/running_path_data_set.tar.gz

	=== Source code ===		=== Source code ===

Jca: /* Source code */

2019-03-28T15:46:49Z

Source code

← Older revision		Revision as of 17:46, 28 March 2019
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	=== Source code ===		=== Source code ===

	Python scripts used ~~for~~ the project		Python scripts etc used in the project

	http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_dataset/path_navigation_source.zip		http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_dataset/path_navigation_source.zip

Jca: /* Vision Assisted Path Navigation for Autonomous Robot */

2019-03-28T15:39:30Z

Vision Assisted Path Navigation for Autonomous Robot

← Older revision		Revision as of 17:39, 28 March 2019
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	== Vision Assisted Path Navigation for Autonomous Robot ==		== Vision Assisted Path Navigation for Autonomous Robot ==

	Frederik Emil Thorsson Schöller ~~(s133910)~~		Frederik Emil Thorsson Schöller and Martin Krarup Plenge-Feidenhans’l
	Martin Krarup Plenge-Feidenhans’l ~~(s125097)~~		Master of Science in Engineering 2019
	Master of Science in Engineering
	2019

	Full thesis: https://findit.dtu.dk/en/catalog/2444130462		Full thesis: https://findit.dtu.dk/en/catalog/2444130462

Jca: /* Abstract */

2019-03-28T15:35:31Z

Abstract

← Older revision		Revision as of 17:35, 28 March 2019
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	[[File:path_segmentation_result.png]]		[[File:path_segmentation_result.png]]

			Figure 1. Example from the segmentation.

	=== Images and annotations ===		=== Images and annotations ===

Jca: /* Vision Assisted Path Navigation for Autonomous Robot */

2019-03-28T15:34:09Z

Vision Assisted Path Navigation for Autonomous Robot

← Older revision		Revision as of 17:34, 28 March 2019
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	Full thesis: https://findit.dtu.dk/en/catalog/2444130462		Full thesis: https://findit.dtu.dk/en/catalog/2444130462

			or

			http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_dataset/Vision_assisted_path_navigation_for_autonomous_robot.pdf

	=== Abstract ===		=== Abstract ===

Jca: /* Source code */

2019-03-28T15:32:51Z

Source code

← Older revision		Revision as of 17:32, 28 March 2019
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	Python scripts used for the project		Python scripts used for the project

	http://aut.elektro.dtu.dk/staff/jca/~~dtu_running_path_datase~~/path_navigation_source.zip		http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_dataset/path_navigation_source.zip

Jca: /* Source code */

2019-03-28T15:32:32Z

Source code

← Older revision		Revision as of 17:32, 28 March 2019
Line 38:		Line 38:
	Python scripts used for the project		Python scripts used for the project

	http://aut.elektro.dtu.dk/staff/jca/path_navigation_source.zip		http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_datase/path_navigation_source.zip

Jca: /* Images and annotations */

2019-03-28T15:32:11Z

Images and annotations

← Older revision		Revision as of 17:32, 28 March 2019
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	The images and annotations (8679 images) - in total 2.6 GB		The images and annotations (8679 images) - in total 2.6 GB

	http://aut.elektro.dtu.dk/staff/jca/running_path_data_set.tar.gz		http://aut.elektro.dtu.dk/staff/jca/dtu_running_path_dataset/running_path_data_set.tar.gz

	=== Source code ===		=== Source code ===

Jca: Created page with " == Vision Assisted Path Navigation for Autonomous Robot == Frederik Emil Thorsson Schöller (s133910) Martin Krarup Plenge-Feidenhans’l (s125097) Master of Science in Engi..."

2019-03-28T15:31:12Z

Created page with " == Vision Assisted Path Navigation for Autonomous Robot == Frederik Emil Thorsson Schöller (s133910) Martin Krarup Plenge-Feidenhans’l (s125097) Master of Science in Engi..."

New page

== Vision Assisted Path Navigation for Autonomous Robot ==

Frederik Emil Thorsson Schöller (s133910)
Martin Krarup Plenge-Feidenhans’l (s125097)
Master of Science in Engineering
2019

Full thesis: https://findit.dtu.dk/en/catalog/2444130462

=== Abstract ===

The main focus of this project is to propose a solution enabling a robot to robustly
navigate a chosen forest path utilizing computer vision. The robot should be able to
navigate the entire path, excluding public roads. While autonomously navigating the
path, the solution should enable the robot to avoid obstacles such as pedestrians while
also providing means to stop the robot when approaching public roads.
A deep learning approach is used, providing the solution with a semantic segmenta-
tion of the acquired images, splitting these into path and background. The segmented
images are processed using classical image analysis in order to provide the robot with
a driving direction, making it follow the path. A GPS based point of interest system
has also been added, enabling the robot to stop when approaching traffic, while also
providing a way of e.g changing parameters when driving a particularly difficult path
segment.
Through testing, the developed system has been successfully evaluated and the sug-
gested solution was found to fulfill the project goals.

[[File:path_segmentation_result.png]]

=== Images and annotations ===

The images and annotations (8679 images) - in total 2.6 GB

http://aut.elektro.dtu.dk/staff/jca/running_path_data_set.tar.gz

=== Source code ===

Python scripts used for the project

http://aut.elektro.dtu.dk/staff/jca/path_navigation_source.zip