Web.Auto enables our partners to develop valuable intelligent vehicles.
Simulate the space coverage and blind spots of various sensor confugurations.
ODD’s 3D maps are converted into Vector Maps by the Vector Map Builder.
The Scenario Editor is used to create scenarios for simulation based on ODD Use Cases.
A multitude of scenarios are processed automatically for Sensing / Localization / Perception / Planning / Control by using different simulators, and successful scenarios are integrated automatically into the system.
The Fleet Management System (FMS) is used to manage vehicle operations and status from real-world driving tests to commercial services. And the remote monitoring system ensures the smooth operation of the services.
HANDLING ANOMALYAND UPDATINGTHE SYSTEMHANDLING ANOMALY ANDUPDATING THE SYSTEM
The FMS enables the analysis of functional as well as service-related errors. Its OTA capability keeps the vehicle status up to date at all times.
Pilot.Auto provides a scalable platform with the essential components needed to develop intelligent vehicles in a timely manner.
DEVELOPMENT TOOLSTO DEVELOPINTELLIGENT VEHICLESTO DEVELOPINTELLIGENTVEHICLES
Web.Auto's DIGITAL TWINS PERFECTLY MIRRORS INTELLIGENT VEHICLES.
Web.Auto enable autonomous driving systems & services to be developed and launched at the right time. All the analysis tools needed to build, test, simulate, and debug autonomous driving software are integrated into a single pipeline. It contains a database for easy sharing of maps, scenarios, driving data, and test results to streamline development collaboration.
OPERATION TOOLSTO OPERATEINTELLIGENT VEHICLESTO OPERATEINTELLIGENTVEHICLES
PROVIDE A VARIETY OF FUNCTIONS TO IMPROVE THE QUALITY OF SERVICES.
Web.Auto makes it possible to operate autonomous driving services securely and at a low cost. This includes vehicle management, fleet planning, remote monitoring, remote operation, driving records, and various statistics and analysis. Various automation tools enable the initial setup of autonomous vehicles without the need for specialized knowledge. Furthermore, with OTA, the autonomous driving system can be kept up-to-date at any time to respond to the user's changing needs and experiences over time.