APPLICATIONS
Powering innovation for the next generation of AI technologies.
Challenge
The client was falling behind on mileage data for a next-gen autonomous vehicle. The goal was to rapidly increase data collection while identifying the cause of delays.
Outcome
These improvements resulted in a 50x increase in average accumulated mileage within just six weeks, accelerating the platform's progress.
Enabling Smarter Algorithms
Closed-Course Mileage Data for Next-Gen Vehicle Platform.
Solution
A detailed Pareto analysis pinpointed inefficiencies in the data collection process, leading to an overhaul in operations.
Autonomous Vehicles
Real-world driving data to power autonomous vehicle advancements.
Overview
Accumulating miles in real-world conditions is vital for developing autonomous vehicle platforms, validating new AV stacks, and ensuring safety. This mileage, gathered through a mix of closed-course and public road testing as regulations allow, helps refine AV features and platforms to perform reliably in a variety of traffic and infrastructure environments.
Sensor fusion
Object recognition
Trajectory planning
Weather Condition Models
Simultaneous localization and mapping (SLAM)
Operational Design Domain (ODD) Expansion
Vehicle-to-Everything (V2X)
Model predictive control
Semantic segmentation
Behavior planning