Research on Integrated Technology of Automatic Navigation and Tracking of Intelligent Car

This design builds a self-driving car based on the MSPM0 series MCU development board, which can navigate and drive automatically along a designated path. Meanwhile, the car can also perform functions such as emitting sound and light signals at a fixed location. In terms of system design, the MSPM0G3507 development board is used as the control core, and the TB6612 drive module is selected to control the motor operation. Advanced PID control algorithm is used to precisely control the motor movement, and GMR encoder motor is used to monitor and adjust the car's speed and direction in real time. The car's posture information is obtained from the gyroscope accelerometer, and the 8-channel grayscale sensor is used to recognize the path markers on the field, to achieve the car's navigation function. For the sound and light prompts, a buzzer is used as the sound prompt device, and the corresponding LED lights on the development board are used as visual prompts, to ensure that the car gives clear feedback when it reaches a specific position.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1145/3705391.3705418
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Integrated Technology of Automatic Navigation and Tracking of Intelligent Car

Zhihan Xu, Xuemei Liu, Xiaoyu Yang
Simulation and Modeling Applications
article

Research on Integrated Technology of Automatic Navigation and Tracking of Intelligent Car

Zhihan Xu, Xuemei Liu, Xiaoyu Yang
article en

Abstract

This design builds a self-driving car based on the MSPM0 series MCU development board, which can navigate and drive automatically along a designated path. Meanwhile, the car can also perform functions such as emitting sound and light signals at a fixed location. In terms of system design, the MSPM0G3507 development board is used as the control core, and the TB6612 drive module is selected to control the motor operation. Advanced PID control algorithm is used to precisely control the motor movement, and GMR encoder motor is used to monitor and adjust the car's speed and direction in real time. The car's posture information is obtained from the gyroscope accelerometer, and the 8-channel grayscale sensor is used to recognize the path markers on the field, to achieve the car's navigation function. For the sound and light prompts, a buzzer is used as the sound prompt device, and the corresponding LED lights on the development board are used as visual prompts, to ensure that the car gives clear feedback when it reaches a specific position.

Chengdu University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 65%
Simulation and Modeling Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.