AVL-DRIVE_Autonomous.jpg

Optimizing the performance of ADAS and AD functions

AVL-DRIVE™ Autonomous

Assess ADAS/AD functions with regards to perceived safety and comfort

Autonomous Driving (AD) and Advanced Driver Assistant Systems (ADAS) are increasingly finding their way into series production vehicles. This includes features such as highway pilot, parking pilot, adaptive cruise control, lane keep assist, braking assist and other systems. And it raises development challenges in the area of perceived safety and comfort.

For drivers the feeling of safety is generally higher when they are able to fully control the vehicle themselves. As AD features take over more driving tasks in the future, OEMs must find ways to objectively assess and reproduce driving maneuvers and scenarios. This is to ensure driver confidence in the vehicles, and must take place in all development phases and in different development environments.
 

Objective Assessment of Subjective Criteria


With our unique assessment technology, AVL-DRIVE™ Autonomous, we perform an objective human-centric assessment of assisted and automated driving characteristics. This enables OEMs to specify and develop driving features that result in a pleasing experience for the driver. The technology has already been used in the application of KPI target setting in the early phases of development, to support a ‘right-first-time’ approach. In the calibration and validation phase its fully automated evaluation algorithm and test report generation totally replaces the data analysis. Testing efficiency and calibration time can be significantly reduced.

 

Automated and Real-Time Assessment


At AVL we have longstanding experience in developing tools and methods that support you in optimizing and refining your products, as well as your development processes. Our tools and methods help you reduce complexity and development effort and produce market-leading products that meet your goals. And this includes AVL-DRIVE Autonomous.

Our assessment technology enables performance KPI target setting, competitor features benchmarking, and features verification and validation both on real road and in virtual environments. This supports frontloading and high-performance testing. The outcome is efficient development, quality improvements and a reduction in costs.

Automated and real-time assessment of autonomous driving features will become more vital as the industry moves into AD levels 3 and 4. Consumer confidence is, therefore, a mandatory goal for commercial viability. As the transformation of the industry gathers speed, it is tools and methods such as AVL-DRIVE Autonomous that will help OEMs lead the market and meet the requirements of the end user.