With the increase in numbers of car traffic collisions caused by the human driver, many car companies are now moving towards developing intelligent vision systems to help the car navigate itself safely. These systems are mainly concerned about two things, detecting objects around the car and keeping the car between the lanes. For detecting objects, most systems include sensor subsystems that surround the car, such as lidar, sonar, IMU, and odometry which can be costly and not efficient since these sensors alone cannot fully identify the objects and extract information from surroundings, such as colors in a traffic light, reading signs…etc. In this work, we addressed these issues by developing algorithms for detecting objects that surround the car using machine learning and Haar feature-based cascade classifier. Also, this work includes algorithms for lane detection using Hough line transform and Canny edge detection and improves these algorithms by using histogram method for identifying the lanes. Moreover, these algorithms are optimized to work on a Raspberry Pi 3 B+ as the master device which will be responsible for sending information to the Arduino UNO which will be responsible for controlling the motors of the RC car.

A digital tape measure developed using C code and Raspberry Pi. Integrates understanding of GPIO to exemplify basic embedded systems development.

Here you can find c++ and python codes for using 3 pin and 4 pin sonar sensor on raspberry pi

Developing an Obstacle dictating car on Raspberry Pi using using sonar and LIDR sensors.

Raspberry Pi based controller for Autonomous RC Boat with support for GPS, Motion sensor and Scanning Sonar.

A python module to use a duo of SRF04 sonar sensors to measure distance on a Raspberry PI

a self driving car that i worked on with some friends for an elective course using a raspberry pi and various sonar/infrared sensors

Real-time distance visualization system using a Raspberry Pi, a sonar sensor, and Matplotlib. By connecting the sonar sensor to the Raspberry Pi measure distances and transform the data into visually stunning graphs using Matplotlib. The project also includes an alert mechanism that activates a buzzer when an object is detected within 10 cm.

Sea Eyes is a real-time Flutter app for vessel collision avoidance. It connects to Raspberry Pi sensors (GPS, sonar, ultrasonic, lidar) and displays live data, radar visuals, and map tracking via Firebase. Designed for maritime safety and smart navigation.

I have a sonar sensor on a bread board connected to raspberry pi. My goal is every time something goes in front of the sensor it send a file to firebase. My code runs fine but it times out after a few minutes of running. Is there a way to restart program or how could I change the code to fix the problem. I have tried to make it always send data to the server. Even when something dosen't cross in front of it. I have tried only when it does cross in front of it and it still doesn't work.