Difference between revisions of "Projects"
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See [[project ROS]] for details. | See [[project ROS]] for details. | ||
== City Driving Suite == | |||
Equip the car with an additional camera and a suite of ultrasonic sensors so the car can evaluate and respond to common stimuli found in city driving. | |||
See [[project City]] for details. | |||
== 3D Camera Intel RealSense == | == 3D Camera Intel RealSense == |
Revision as of 22:07, 23 May 2018
These are some ideas for possible projects to be develop in the class.
Code is collected on the class github repository.
Playing Fetch
Using image recognition to localize, track and fetch a tennis ball.
See project fetch for details.
Equip the car with GPS and use it to perform navigation tasks.
See project gps for details.
Stereo Vision
Equip the car with two cameras, design a new controller that can take advantage of the stereo vision and evaluate its performance.
See project stereo for details.
Encoders for Odometry
Incorporate encoders on the wheels of the car and use the new measurement to improve the performance of the controller.
See project encoders for details.
ROS
Develop ROS nodes for the current setup of the car and demonstrate its capability.
See project ROS for details.
City Driving Suite
Equip the car with an additional camera and a suite of ultrasonic sensors so the car can evaluate and respond to common stimuli found in city driving.
See project City for details.
3D Camera Intel RealSense
Equip the car with a camera that can sense depth, design a new controller that can take advantage of the stereo vision and evaluate its performance.
Parallel Parking
Equip the car with ultrasonic sensor, design and train a controller that can park the car autonomously.
Convoy
Follow the car in front of you keeping distance. Control first car by remote control, then all autonomous.
Enhanced Image Processing
Incorporate image processing filters that can enhance the performance of the car. Ideas include: split field of view, line detection and following.