Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus
The continual development of the automotive industry has evolved to astronomical levels, capable of promoting a new technological generation of several automated systems (both mechanical and electronic systems). As a result, a generation of autonomous vehicles – also known as intelligent vehicles –...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
Knowledge E
2022-08-01
|
| Series: | ESPOCH Congresses |
| Subjects: | |
| Online Access: | https://doi.org/10.18502/espoch.v2i4.11744 |
| _version_ | 1798045826479554560 |
|---|---|
| author | Andres Barahona Kleber Rios Javier Gavilanes Johnny Gavilanes |
| author_facet | Andres Barahona Kleber Rios Javier Gavilanes Johnny Gavilanes |
| author_sort | Andres Barahona |
| collection | DOAJ |
| description | The continual development of the automotive industry has evolved to astronomical levels, capable of promoting a new technological generation of several automated systems (both mechanical and electronic systems). As a result, a generation of autonomous vehicles – also known as intelligent vehicles – capable of avoiding human errors has emerged. In the present investigation, an Ackermann-type mobile prototype is used to validate autonomous navigation algorithms in different environmental conditions, which is developed by covering artificial vision stages such as the detection of the bicycle lane and traffic signals at scale. The control system consists of three parts – First is the detection algorithm through an artificial vision to collect information from the environment through a Pi camera that can later be processed through Python with its OpenCV tool. The second deals with the training of traffic signs (Stop and Speed Signage) through the Haar Cascade, as well as the detection of road lines through which various filters such as Canny, edge detection, and the transformation of Hough are executed on the Python platform with the OpenCV tool. The third part is the communication between the processing of the codes and their respective actuators (Motor, Servomotor) to finally collect the statistical data and validate the algorithms in the Ackerman-type mobile prototype. |
| first_indexed | 2024-04-11T23:27:23Z |
| format | Article |
| id | doaj.art-334ed6ca07ce4f4a92ca02ef100fd6b0 |
| institution | Directory Open Access Journal |
| issn | 2789-5009 |
| language | Spanish |
| last_indexed | 2024-04-11T23:27:23Z |
| publishDate | 2022-08-01 |
| publisher | Knowledge E |
| record_format | Article |
| series | ESPOCH Congresses |
| spelling | doaj.art-334ed6ca07ce4f4a92ca02ef100fd6b02022-12-22T03:57:16ZspaKnowledge EESPOCH Congresses2789-50092022-08-01241160117310.18502/espoch.v2i4.11744espoch.v2i4.11744Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH CampusAndres Barahona0Kleber Rios1Javier Gavilanes2Johnny Gavilanes3Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo, Riobamba, EcuadorFacultad de Mecánica, Escuela Superior Politécnica de Chimborazo, Riobamba, EcuadorFacultad de Mecánica, Escuela Superior Politécnica de Chimborazo, Riobamba, EcuadorFacultad de Mecánica, Escuela Superior Politécnica de Chimborazo, Riobamba, EcuadorThe continual development of the automotive industry has evolved to astronomical levels, capable of promoting a new technological generation of several automated systems (both mechanical and electronic systems). As a result, a generation of autonomous vehicles – also known as intelligent vehicles – capable of avoiding human errors has emerged. In the present investigation, an Ackermann-type mobile prototype is used to validate autonomous navigation algorithms in different environmental conditions, which is developed by covering artificial vision stages such as the detection of the bicycle lane and traffic signals at scale. The control system consists of three parts – First is the detection algorithm through an artificial vision to collect information from the environment through a Pi camera that can later be processed through Python with its OpenCV tool. The second deals with the training of traffic signs (Stop and Speed Signage) through the Haar Cascade, as well as the detection of road lines through which various filters such as Canny, edge detection, and the transformation of Hough are executed on the Python platform with the OpenCV tool. The third part is the communication between the processing of the codes and their respective actuators (Motor, Servomotor) to finally collect the statistical data and validate the algorithms in the Ackerman-type mobile prototype.https://doi.org/10.18502/espoch.v2i4.11744python, opencv, canny filter, hough transform, haar cascade. |
| spellingShingle | Andres Barahona Kleber Rios Javier Gavilanes Johnny Gavilanes Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus ESPOCH Congresses python, opencv, canny filter, hough transform, haar cascade. |
| title | Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus |
| title_full | Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus |
| title_fullStr | Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus |
| title_full_unstemmed | Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus |
| title_short | Development of an Ackermann-type Mobile Platform for the Validation of Autonomous Navigation Algorithms within the ESPOCH Campus |
| title_sort | development of an ackermann type mobile platform for the validation of autonomous navigation algorithms within the espoch campus |
| topic | python, opencv, canny filter, hough transform, haar cascade. |
| url | https://doi.org/10.18502/espoch.v2i4.11744 |
| work_keys_str_mv | AT andresbarahona developmentofanackermanntypemobileplatformforthevalidationofautonomousnavigationalgorithmswithintheespochcampus AT kleberrios developmentofanackermanntypemobileplatformforthevalidationofautonomousnavigationalgorithmswithintheespochcampus AT javiergavilanes developmentofanackermanntypemobileplatformforthevalidationofautonomousnavigationalgorithmswithintheespochcampus AT johnnygavilanes developmentofanackermanntypemobileplatformforthevalidationofautonomousnavigationalgorithmswithintheespochcampus |