Autonomous vehicle validation depends on realistic, controllable environments for SIL, HIL and scenario-based testing. This session explains how AVES Reality transforms geospatial data into simulation-ready 3D environments and HD maps, reducing manual map-building effort, shortening preparation times and lowering validation costs. It also shows how automated environment generation enables access to new test areas, expanding the range of ODDs, edge cases and customer-specific locations that can be validated in simulation.

• How geospatial data becomes simulation-ready 3D environments
• Where automation reduces time and cost in validation workflows
• How new test areas expand ODD and edge-case coverage
• Which use cases matter for OEMs, suppliers and fleets