BASELABS is executing on the vision of "safe automated driving for all vehicles". We provide software products to make the development of sensor fusion efficient and scalable. We are a trustworthy partner for automotive manufacturers and suppliers worldwide.
BASELABS was founded in 2012 and is in shared ownership by its four founders and Vector Informatik GmbH. Thus, we are strategically independent of any OEM, Tier 1, or sensor supplier in the market.
The basis of our success is a dedicated team in an employee-oriented corporate culture, whose positive assessment has led to receive the "Great Place to Work®" award several times.
Our vision for the Sensor Fusion Forum 2022 is to create a unique one-day event for bringing together highly dedicated experts and practitioners in the field of sensor fusion. The goal is to create an ideal setting for this curated group of professionals to discuss current and future developments and challenges of sensor fusion for ADAS and automated driving.Therefore, we are excited about this year’s exceptional line-up of speakers:
- Mirko Maehlisch, Lead Architect next gen., CARIAD SE
- Andreas Hartmann, Principal Engineer Perception and Fusion Systems, Continental AG
- Juergen Dickmann, Head of Radar Sensors and radar-based Perception, Mercedes-Benz AG
- Jens Honer, Valeo Senior Expert Environment Perception, Tracking and Fusion, Valeo Group
- Roman Streubel, Expert Sensor Fusion, Continental AG
- Eric Richter, Director Technology Innovation, BASELABS GmbH
Join us on November 8 in Chemnitz, Germany.
Once again, we are one of Germany's best employers in the information and communications industry and in the category "small and medium-sized businesses"! We are delighted and proud to receive this award from Great Place To Work®!Learn more abour our Great Place to Work®
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.Watch the full video
In the race to automated driving, automotive companies have a continuously increasing demand for development resources. BASELABS provides the automotive industry with an alternative sourcing strategy for sensor fusion via licensable software. Automotive companies are enabled to adapt data fusion applications more quickly and efficiently to changing market and technology requirements - in-house or at the supplier. Thus, OEMs and Tier 1 are more flexible in their sourcing decisions. For its market relevance and user benefits, the BASELABS Create Embedded software has now been awarded the Frost & Sullivan "2021 Enabling Technology Leadership Award". Read the press releaseBASELABS Create Embedded
The whitepaper "Driving Toward Level 2+ Sensor Fusion for ADAS" explores how
- Utilizing a safe and scalable sensor fusion ecosystem of hard- and software can efficiently handle the complexity of sensor fusion for safety-critical automotive applications
- The BASELABS Create Embedded sensor fusion platform is the perfect fit for the Infineon AURIX TC3xx family of reliable automotive microcontrollers when approaching the development of ADAS systems that vehicle owners can trust
We are excited to announce that our product 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.
Automated generation of an AUTOSAR software component that runs an embedded data fusion: Experts from BASELABS and Vector show you how to generate an individual data fusion algorithm that is safety-compliant, and which runs directly on embedded systems and MICROSAR ECUs in the target vehicle. The webinar was hosted by our partner company Vector.
Contact us to discuss how we can help you to efficiently develop and adapt data fusion systems with an ISO 26262 certified data fusion library.Webinar recording
With BASELABS Create Embedded, a series-grade software library is available which enables customers to efficiently develop data fusion systems for automated driving functions in embedded systems. The software makes it possible for the first time to take over the developed data fusion C-code directly for series production ECUs. Infineon's AURIX™ TC3xx microcontroller platforms are perfectly suited for the execution of the embedded software algorithms.Press release
Together with other companies from in the field of automated driving in Chemnitz, BASELABS has founded the association CADA. The cluster has the mission to promote Chemnitz as a competence center for software development for automated driving. Several companies are active in this field with slightly different but complementary focus. This underlines the wide range of job opportunities available to actively participate in the future of the automotive industry. Both graduates and experienced software developers and engineers are invited to benefit from this versatility for their career in Chemnitz in the long run.About CADA
Data fusion increases the data quality of sensors and combines the strengths of multiple sensors. Due to the increased data quality, AEB systems are more precise, reliable and safe.Order your free poster
Sensor data 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.Learn more