Find Your Reference Design

Use the decision flowchart to identify which reference configuration matches your deployment scenario, then explore real-world examples that demonstrate each configuration.

Decision Flowchart

flowchart TD
    START[Start] --> Q1{Technology Maturity?}

    Q1 -->|TRL-6 or less| Q2{Environment?}
    Q1 -->|TRL-7 or higher| Example[See Example Production Platforms]

    Q2 -->|Indoor only| INDOOR[LSA/Racing robots/Go-Kart]
    Q2 -->|Outdoor| Q3{Location}
    Q2 -->|Mixed indoor/outdoor| INDOOR[LSA]

    Q3 -->|Off-Road| Offroad[Off-road Vehcile Design]
    Q3 -->|City| Q4{Size}
    Q3 -->|Closed Campus| INDOOR[LSA]
    Q3 -->|Highway| PoV[PoV Reference Design]

    Q4 -->|Large Size| Bus[Bus]
    Q4 -->|SedanSize| Taxi[RoboTaxi]

---

Example Production Platforms

Configuration	Best For	Environment	Localization	Key Feature
KingWayTek Micro LSV	Mixed traffic flows and low budget	Paved, GPS available	RTK GNSS	Balanced cost/capability
Bus	Shuttle Services for fixed route	Paved, GPS available	RTK GNSS	Comfortable and safe ride
RoboTaxi	Point-to-Point On-Demand Services	Paved, GPS available	RTK GNSS	Comfortable and safe ride

Reference Conceptual Design Guidelines

These are conceptual configurations optimized for different deployment scenarios. Each defines recommended components, performance targets, and ODD coverage.

Configuration	Best For	Environment	Localization	Key Feature
LSA	Mixed traffic flows and low budget	Paved, GPS available	RTK GNSS	Balanced cost/capability
PoV	Highway	Paved, GPS available	RTK GNSS	End-to-End Machine Learning Pipeline
(TBA)Off-road	Racing, education, and research	Unpaved, GPS available	Single GNSS	No map and AI-enabled
(TBA) Truck	Heavy duty vehicles	Outdoor	RTK GNSS
RoboRacer	Racing and Education	Indoor tracks	No	Racing robots using Autoware
Go-Kart	Racing and Development	Outdoor	RTK GNSS	EV Go-Kart using Autoware