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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.11746 |
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| _version_ | 1866913547668160512 |
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| author | Holighi, Amirhossein Kheiri Hajibekandeh, Seyed Sobhan Hosseini Behbahani, Amirhossein Gholizadeh Khatibi, Kian Shabestari, Saina Najafi Ghoreishi, Ghazal Dadnavi, Aria Sadeghi, Saba Makhsous, Shahriar Karimi Jamshidi, Matin Abadi, Mandana Shabanzadeh Nasrolah Moaiyeri, Mohammad Hossein |
| author_facet | Holighi, Amirhossein Kheiri Hajibekandeh, Seyed Sobhan Hosseini Behbahani, Amirhossein Gholizadeh Khatibi, Kian Shabestari, Saina Najafi Ghoreishi, Ghazal Dadnavi, Aria Sadeghi, Saba Makhsous, Shahriar Karimi Jamshidi, Matin Abadi, Mandana Shabanzadeh Nasrolah Moaiyeri, Mohammad Hossein |
| contents | This paper presents Auriga Robotics' autonomous vehicle, developed at Shahid Beheshti University's Robotics and Intelligent Automation Lab, as part of the team's entry for the 2024 RoboCup IranOpen competition. The vehicle is a 1:10 scale car equipped with a custom-designed chassis, a stepper motor for precision, and a range of sensors for autonomous navigation. Key hardware includes ESP32 microcontrollers that manage motor control and sensor data acquisition. The software system integrates computer vision, including YOLOv8 for sign detection and PiNet for lane detection, combined with control algorithms such as the Stanley, PID, and Pure Pursuit controllers. The vehicle's design emphasizes real-time decision-making, environmental mapping, and efficient localization, ensuring its ability to navigate complex driving scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_11746 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Technical Report of 1:10 Scale Autonomous Vehicle Robot Holighi, Amirhossein Kheiri Hajibekandeh, Seyed Sobhan Hosseini Behbahani, Amirhossein Gholizadeh Khatibi, Kian Shabestari, Saina Najafi Ghoreishi, Ghazal Dadnavi, Aria Sadeghi, Saba Makhsous, Shahriar Karimi Jamshidi, Matin Abadi, Mandana Shabanzadeh Nasrolah Moaiyeri, Mohammad Hossein Systems and Control This paper presents Auriga Robotics' autonomous vehicle, developed at Shahid Beheshti University's Robotics and Intelligent Automation Lab, as part of the team's entry for the 2024 RoboCup IranOpen competition. The vehicle is a 1:10 scale car equipped with a custom-designed chassis, a stepper motor for precision, and a range of sensors for autonomous navigation. Key hardware includes ESP32 microcontrollers that manage motor control and sensor data acquisition. The software system integrates computer vision, including YOLOv8 for sign detection and PiNet for lane detection, combined with control algorithms such as the Stanley, PID, and Pure Pursuit controllers. The vehicle's design emphasizes real-time decision-making, environmental mapping, and efficient localization, ensuring its ability to navigate complex driving scenarios. |
| title | Technical Report of 1:10 Scale Autonomous Vehicle Robot |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2410.11746 |