Keywords

Autonomous vehicle, self-driving car, ultrasonic sensors, steering logic

Select the category the research project fits.

Innovative Technology/Entrepreneurship/Design

Is this submission part of ICaP/PW (Introductory Composition at Purdue/Professional Writing)?

No

Abstract

The demand for the autonomous land vehicle industry has been increasing tremendously, and continues to grow; nearly 30 million autonomous vehicles are expected to be sold by 2040.1 Through the Autonomous Lands Vehicle (ALV) VIP team, students develop both the hardware and software to help enhance knowledge and gain experience in vehicle autonomy. An automatic pilot has been built that can drive the vehicle in real time. The purpose of this pilot is to generate vehicle control commands that will direct the vehicle from the starting point to the finishing point, without hitting unforeseen obstacles. A remote controlled vehicle has been transformed into an autonomous vehicle by implementing appropriate steering logic based on incoming data from ultrasonic distance sensors. The Team has strategized that the use of the Raspberry Pi single board computer would be the best candidate to function as the brain of the project due to open source software and familiarity of use.The current steering logic has been refined through an obstacle course based testing in scenarios with low gradient surfaces.For future iterations of this project, implementation of object recognition via a Pi CAM can relay what the ALV is seeing and with the introduction of a GPS module the user can actively monitor the coordinates of the vehicle . In addition to this, the project could be improved with a wider variation of testing in less controlled environments. Reference: https://news.ihsmarkit.com/press-release/automotive/autonomous-vehicle-sales-surpass-33-million-annually-2040-enabling-new-auto

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Autonomous Land Vehicle

The demand for the autonomous land vehicle industry has been increasing tremendously, and continues to grow; nearly 30 million autonomous vehicles are expected to be sold by 2040.1 Through the Autonomous Lands Vehicle (ALV) VIP team, students develop both the hardware and software to help enhance knowledge and gain experience in vehicle autonomy. An automatic pilot has been built that can drive the vehicle in real time. The purpose of this pilot is to generate vehicle control commands that will direct the vehicle from the starting point to the finishing point, without hitting unforeseen obstacles. A remote controlled vehicle has been transformed into an autonomous vehicle by implementing appropriate steering logic based on incoming data from ultrasonic distance sensors. The Team has strategized that the use of the Raspberry Pi single board computer would be the best candidate to function as the brain of the project due to open source software and familiarity of use.The current steering logic has been refined through an obstacle course based testing in scenarios with low gradient surfaces.For future iterations of this project, implementation of object recognition via a Pi CAM can relay what the ALV is seeing and with the introduction of a GPS module the user can actively monitor the coordinates of the vehicle . In addition to this, the project could be improved with a wider variation of testing in less controlled environments. Reference: https://news.ihsmarkit.com/press-release/automotive/autonomous-vehicle-sales-surpass-33-million-annually-2040-enabling-new-auto