Skip to Main Content

 

White Paper

Ansys is First to Verify Perception Systems Virtually via Accurate Fog Models

One obstacle to launching a fully autonomous car is achieving 100% certainty in the vehicle’s cameras and sensors.

Under every lighting level and weather condition, cameras must reliably “see” pedestrians and other physical objects ― and trigger an appropriate reaction from critical systems such as braking. This is especially challenging in foggy conditions, which can confuse visual cameras, radar, lidar and other conventional sensor technologies. Thermal imaging represents a potential solution, helping sensors get a much more defined view via infrared technology. But how can thermal imaging developers ― and the developers of other sensor systems ― accurately assess their products’ performance in fog? Recently Ansys collaborated with FLIR Systems, a leader in thermal imaging, to evaluate the fog modeling capabilities in its Ansys Speos solution for simulating its sensor system in foggy driving conditions. The tests verified that FLIR’s thermal camera produced accurate images ― and also verified that fog modeling via Ansys Speos predicts and matches physical fog tests in the lab. In the race to commercialize autonomous vehicles, modeling complex environmental conditions such as fog can be a significant competitive edge for perception engineers, ADAS and AV developers.

You might be interested in

Ansys 2020 R1 - HFSS Product Update Webinar | Ansys Webinar
Webinar

Ansys 2020 R1 - HFSS Product Update Webinar | Ansys Webinar

Learn about the new capabilities available in Ansys HFSS 2020 R1, which has powerful new features for the design of microwave, RF and high-speed electronic devices.

Antenna Gain Explained: How to Calculate and Increase Gain
Blog

Antenna Gain Explained: How to Calculate and Increase Gain

Antenna gain is the measure of an antenna’s ability to radiate a signal in any direction compared to the theoretical isotropic radiator.

How NIST Uses Ansys HFSS for Measurement Calibrations
Blog

How NIST Uses Ansys HFSS for Measurement Calibrations

See how NIST collaborated with Ansys to investigate the capability of Rydberg atom-based sensors to determine the angle of arrival of an incident RF field measurement, which is of great interest to the radar and communications industries.