Sensor Fusion Software for Safe Automated Driving

BASELABS, the specialist for sensor fusion, is now offering the acquisition of its complete software technology in the field of environment perception for automated driving in ASIL D. In contrast to the previous licensing model, buyers of the technology will be able to use the software without restrictions. The high maturity of the BASELABS technologies enables their use in safety-critical applications for highly automated systems such as L4 vehicles and high-volume driver assistance applications (ADAS). The acquisition of the technologies can be exclusive or partially exclusive.

Sensor fusion is one of the most important building blocks for automated vehicles. In the process of sensor fusion, the results of different sensors are combined to obtain more reliable and meaningful data. In the context of automated driving, the term usually refers to the perception of the environment of a vehicle using vehicle sensors such as radars, cameras and lidars.

If you are looking for ways to improve your ability to detect potential dangers and threats in sensor fusion or if you struggle with detecting unknown risks that traditional high-level fusion techniques just can't capture - You should watch our webinar!

BASELABS Dynamic Grid provides sensor fusion of dynamic and static objects, including free space detection. The technology is suitable for high-resolution radars, semantic segmentation cameras, or lidars. It empowers your development of automated driving in urban environments, automated parking, traffic jam or highway pilots, with many different traffic participants and object types.

We are excited to announce that our software for the development of safe object fusion algorithms - BASELABS Create Embedded - has been confirmed by exida to be compliant with the relevant regulations of the ISO 26262 safety norm. With its comprehensive understanding of ISO 26262, exida provides ISO 26262 certification for the development of safer products.

BASELABS Create Embedded has been developed in accordance with a relevant sub-set of ISO 26262:2018 requirements and methods for ASIL B. Its resulting software algorithms are directly applicable to the production of safety-related ADAS and automated driving functions.