Team Report By designing the holder for all the sensors and computing system in the suitcase, we intend to use 3D printing to customize the holder for the Jetson board. For the driven wheel, we decided to design a H shape shaft which connects the wheel and the suitcase. For Read more…
Weekly Report 7 This week, we started our formal integration. We have purchased the driver for the motor and the frame for the motor. These can be easily assembled based on the instruction. We will need to design the frame for the driven omni wheel by ourselves. Due to the Read more…
Team Report This week, we worked on the integration plan. Previously we believe the integration is one of our last parts. We want to have our software ready and then we could implement them with hardware. We received suitcase and battery from Quinn and started our integration. Our integration consists Read more…
Team Report 5 Integration Plan This week, Elias and Zhiqi started planning the integration of the suitcase. We need to find the suitcase that is modifiable and cheap(must be within our budget). Our choice is a Traveler suitcase on Amazon. Our integration plans are as follows: Driving Read more…
Team report This week, Elias worked mainly on the detecting part. He finished refining the tag detection algorithm, and currently the accuracy of detecting the tag from a still image frame is above 95%. On the other hand, with probabilistic model to predict the location of the tag in the Read more…
Week 3 Report Team CB This week Elias has been working on vision tracking part. Based on last week’s presentation, professor Savvides suggested another way of tracking – track the whole person instead of a sticker on shoe heel. Elias tried to mount the camera onto a suitcase with different Read more…
Team CB Report Week 2 Zhiqi Gong & Zixu Lu This week, most of our ordered parts have arrived, including two Pololu encoded motors, Intel Realsense Depth Camera, Mecanum Wheels and IMU component. Elias has been working on the computer vision part since last week. This week, we have Read more…
The biggest challenge that we are facing now is whether to use pure computer vision algorithms to do object detection and following, or should we introduce machine learning algorithms to it. And if we are using some object detection APIs we found (e.g, YOLO), to what extent should we rely Read more…