Project

# Title Team Members TA Documents Sponsor
18 Wireless Fast Charging Autonomous Car
Yiquan Jin
Yizhi Li
Ziyue Guo
Zongyang Zhu
design_document1.pdf
final_paper3.pdf
proposal1.pdf
Chushan Li
# Problem

An autonomous car with wireless fast charging capability (Pin≥100W) is proposed. The car can automatically detect the place of wireless charging station and drive to the station with fast speed.

# Solution Overview

- An autonomous car with energy storage and fast speed

- The wireless charging power Pin ≥ 100W

- Car can automatically align to the charging coils

- Car can detect the place of wireless charging station.

- Obstacles can be avoided during the driving

- Car can fully utilize its mechanical structure and shock absorption system to work on various road condition

# Solution Components

## Hardware Components:

- Autonomous Driving Car Prototype: Developed a prototype of an autonomous driving car capable of autonomous navigation and driving functions, including sensors, control units, actuators, and designed the car's exterior and shock absorption structure.

- Wireless Charging System: Designed and implemented a wireless charging system capable of delivering over 100W of power, including hardware devices for the charger and car receiver end.

- Positioning and Navigation Equipment: Integrated high-precision positioning and navigation equipment to enable the car to navigate and plan routes in complex environments.

## Software Components:

- Autonomous Driving Software: Developed a comprehensive autonomous driving software system, including environment perception, path planning, control algorithms, etc., capable of achieving safe and stable autonomous driving functions.

- Charging Alignment Algorithm: Implemented precise charging alignment algorithms, capable of accurately identifying the position of charging stations and automatically aligning the car with the charging coils, ensuring charging efficiency and safety.

- Obstacle Detection and Avoidance Algorithms: Developed efficient obstacle detection and avoidance algorithms, capable of timely identifying obstacles on the road and taking appropriate measures to avoid collisions.

- Charging Station Position Detection Software: Implemented charging station position detection software, capable of accurately identifying the position of charging stations and planning the optimal route to reach the charging station.

# Criterion for Success

Our ultimate goal is to develop an autonomous vehicle with energy storage and high-speed capabilities, equipped with wireless fast charging (Pin ≥ 100W). It should automatically align with charging coils, detect the location of wireless charging stations, navigate around obstacles during driving, and fully utilize its mechanical structure and shock absorption system to adapt to various road conditions.

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Project Description

Computed Tomography, often referred to as CT or CAT scans, is a modern technology used for medical imaging. While many people know of this technology, not many people understand how it works. The concepts behind CT scans are theoretical and often hard to visualize. Professor Carney has indicated that a small-scale device for demonstrational purposes will help students gain a more concrete understanding of the technical components behind this device. Using light rather than x-rays, we will design and build a simplified CT device for use as an educational tool.

Design Methodology

We will build a device with three components: a light source, a screen, and a stand to hold the object. After placing an object on the stand and starting the scan, the device will record three projections by rotating either the camera and screen or object. Using the three projections in tandem with an algorithm developed with a graduate student, our device will create a 3D reconstruction of the object.

Hardware

• Motors to rotate camera and screen or object

• Grid of photo sensors built into screen

• Light source

• Power source for each of these components

• Control system for timing between movement, light on, and sensor readings