Our takeaways from AutoSens Brussels 2021
Having said that, these are our key takeaways:
Sensor simulation: the hottest topic
A future where we can understand how the different sensors or different configurations affect the performance of AI perception systems is not far. An accurate sensor simulation is one of the key enabling technologies of that future.
In-cabin sensing gains traction
As the industry shifts its focus from exterior to interior, from driver to occupancy, from basic monitoring to advanced monitoring, and from safety as the main feature, In-Cabin Sensing systems have been emerging at an unprecedented pace.
The need for more reliable sensing systems
Improve perception robustness: vital to achieving safer autonomous vehicles and ADAS
Vehicles must operate safely under any type of circumstance or weather condition, and even when great progress has been made to enable ADAS and autonomous vehicles to become safer, it is not enough.
Numerous reports show a lack of robustness in harsh scenarios, such as rain, snow, or fog, where they experience darkness and poor weather. We can find several advanced machine learning approaches to improve computer vision accuracy under all scenarios, but there is certainly a lot of work to do on safety matters. Sensors, like high-resolution LiDAR and thermal cameras, have a huge role to play, being able to simulate them could mean a huge advantage to reach the most demanding robustness goals.
With Anyverse™ you can accurately simulate any camera sensor and help you decide which one will perform better with your perception system. No more complex and expensive experiments with real devices, thanks to our state-of-the-art photometric pipeline.