Solving challenging and unique problems to further the development and safety of the mobility industry

We are a collection of problem solvers with a wide range of backgrounds from controls, physics, dynamic systems, machine learning to tire mechanics. Our passion is to help our customers focus on their core products while enhancing the capability and safety of the mobility industry. We accomplish this by conducting research, simulation, and/or physical testing to establish objective data for use in the development process of our clients’ products. Through knowledge and application within all the steps of the Process of Mobility, we have a complete understanding of the ADS/ADAS domain to help you develop vehicles and technology.

Tire Model Selection

Wet Testing


One unique resource used to solve critical issues for ADS and ADAS technology is Naturalistic Driving Data (NDD) from Virginia Tech Transportation Institute (VTTI), which is a categorized dataset consisting of recorded natural driving, crash, and near crash events from over 70 million miles of driving.  We convert the NDD events into simulation ready data sets via video, radar, and time-series data reduction. The data sets include the subject vehicle and important dynamic actor trajectories as well as the static actor locations, 3D environment, road structure, and road logic.

Research and Services:

  • Event Replication
  • Event Variation
  • Intelligent Sampling


In ADS and ADAS vehicles, the human senses are being replaced by technology. Understanding the limitations of the technologies, effects from degradation (artificial or natural), and application in virtual development is critical for a robust product.  Our testing techniques and research provide the basis for this understanding and virtual products.

Research and Services:

  • Sensor Characterization
  • Sensor Degradation
  • Sensor Modeling
  • C2V Evaluation and Support


Sensor Data is as it says, just data. It is the Perceive step that interprets that data and converts it to usable information. The usable information output by our algorithms is applied for large scale actor annotations, cyber security, and infrastructure assessment.

Research and Services:

  • Sensor Fusion
  • Detection Algorithm
  • V2X


Planning for the Scenario involves many aspects of the vehicle and environment.  Application of the human behavior into our planning algorithms provides a more natural response. Combined with Safety Modeling based on the NDD, our algorithms can also provide the highest percentage of avoiding a safety critical event. Lastly, our knowledge of vehicle dynamics provides the physical bounds of the vehicles and is inputted into the algorithms.

Research and Services:

  • Behavioral Model
  • Safety Modeling/Assurance
  • Automated Maneuver Algorithms
  • Vehicle Dynamics Modeling and Simulation
  • Tire Testing (Force and Moment)
  • Tire Modeling (MF, FTire, PAC2002, CDTire)


Control algorithms for achieving a maneuver require knowledge of the vehicle dynamics. This knowledge should start with understanding the tire influences through tire testing and modeling. Utilizing the world’s most capable flat belt force and moment equipment, we can provide this knowledge.

Leveraging the NDD, human response bounds are implemented in our control algorithms to maintain comfort and security for passengers.

Research and Services:

  • Behavioral based algorithms
  • Tire Testing (Force and Moment)
  • Tire Modeling (MF, FTire, PAC2002, CDTire)


Assessment of the vehicle response to the Scenario can be conducted both physically and virtually.  The performance is compared to established regulatory values, internally developed behavioral competency values and safety models.  These are processes and tools that can be used during development or as an added check prior to release to the public.

Research and Services:

  • Behavioral Competency
  • Safety Assessment
  • Vehicle Testing