Tech@Lunch February: Reliable sensor positions for (autonomous) vehicles

Sensor positions determine the exact location of sensors such as cameras, lidar, and IMUs on a (autonomous) vehicle. This accuracy is crucial for correctly perceiving the environment and enabling safe actions such as steering, braking, and detecting obstacles.

In practice, however, sensor positions are regularly disrupted by normal use. Detecting and correcting such deviations often requires a lot of time, specialized expertise, and specific infrastructure. In addition, the vehicle often has to be taken out of service, resulting in downtime and additional costs.

During this session, you will discover how to continuously monitor sensor positions online and eliminate manual recalibration. You will also learn why this is a key element of AI safety: many risks emerge silently, long before failures become visible. Automatic sensor pose monitoring and calibration help you detect these hidden issues early and ensure safe, reliable performance with minimal effort.

Who is this session interesting for?

This Tech@Lunch is relevant for companies that work with vehicles whose operation is highly dependent on sensors, such as cameras, lidar, or IMUs. This applies to both autonomous and non-autonomous vehicles.

The approach is particularly interesting for vehicles that operate in outdoor environments. In such conditions, sensors become miscalibrated more quickly and recalibration is more complex, as it often requires a technician on site or the vehicle to be returned to the workshop.

This session is also relevant for companies that:
•    do not have in-depth expertise in sensor position estimation
•    want to maintain flexibility in their sensor configuration

The solution we explain is independent of the type and number of sensors used. This allows you to avoid vendor lock-in and keeps your system future-proof.

Curious about how this can make your vehicles more robust and efficient?
Join the Tech@Lunch and talk to our experts - register now.

Date: 27 February
Time: 12.30 - 13.00 hrs
Location: Online