WayRay is a technology company that develops holographic AR displays for cars. In February–May 2018, WayRay held the competition "True AR Challenge" for developers and designers to design new apps for cars as a part of the WayRay system. Our project has been selected as the second runners-up and qualified for the following onsite hackathon.
Define challenge
Current Product Analysis
The current features of WayRay provide drivers with route-related information and high priority notifications. WayRay aims to make the driving experience more immersive and convenient.
Because the product is still in the early stages, we wanted to meet drivers basic needs instead of providing fancy recreational features. We collected and analyzed the current HUD screens and found that the parking system was missing.
Design Challenge:
How might we provide drivers customized and real-time parking predictions?
How to customize?
•  Where are you going?
•  When do you need to arrive?
•  Dinner with your friends or a meeting with clients?
•  Which parking spot is the closest to the AMC at the mall?
•  Which parking garage are you used to parking in?
People prefer different parking choices in various conditions. We brainstormed a lot of ideas to make the product as customized as possible, with as little input as possible required of users as well.
Approach 1: Filters & Priority
Approach 2: App integration
Approach 3: History analysis
Smart parking
The most ideal case is that what you need will match what is available at that moment. So, it is critical to know the availabilities of parking spots ahead of time. We did research on innovative technologies to get the best solution to this.

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Connected Vehicle Detection Sensors can provide real-time updates of parking to our product. The in-ground sensors or cameras mounted on light poles can detect whether parking spaces are available or occupied and send the data to the cloud.
It is not just about parking. The smart parking search will be a significant part of the Internet of Things (IoT) and smart cities.
HUD design
User Flow
We iterated the user flow three times from the design phase to the user testing phase. We tried to make the user flow as simple as possible.
Initial Elements Design
Expert Reviews
We had an expert review after we developed our main UI elements. There are two main takeaways:
•   Only use one highlighted color for the key information.
•   Consider more about how users interact when they are in cars.
Iterations & Prototypes
1. Parking Predictions
Before 10 mins. prior to arriving, the system will provide you with optimal parking options based on your preference setup and your personal parking history. Swiping left and right can correspondingly choose cheaper and closer options.
2. Street Parking Navigation
The navigation map will zoom in when you are close enough to the selected parking spot. It will automatically re-generate the directions if your desired parking spot is occupied by someone else right before you.
3. Best Spot Navigation
The system can guide you to the best spot in a parking garage for you. Maybe it is close to the cinema you are going to which is on the 5th floor of the mall. Maybe it is beginner-driver friendly to park in.
Next steps
Development of a user-friendly HUD interface for cars is a complex process. The next step is to test the prototypes in the VR driving simulator. The VR simulator provided by WayRay enables us to test in a virtual city with a life-like environment.
The future steps are developing the prototypes with code in VR to test the usability. Then the final step that we may not be able to make is to test the prototypes in an actual car.

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