ROBUSTNESS FOR AUTONOMOUS DRIVING SYSTEMS
The Merantix Autonomous Safety Platform is a growing technology stack to facilitate the real world deployment of autonomous driving systems.
At the intersection of deep learning research and safety engineering, Merantix is developing an environment that enables measurable, continuous progression in autonomous vehicle software.
Our Solution Scope
We are building a standalone, generalized, scenario-based testing system which evaluates the full-stack performance of any AV software.
Debugging neural networks can be challenging, even for experts. With millions of parameters involved, even one small change can cause errors. At Merantix, we develop methods to visualize neural nets to make this process smoother.
Learning continuously and adaptively about the external world and enabling the autonomous, incremental development of ever more complex skills and knowledge.
Compression of deep neural networks for memory-efficient, compact feature representations becomes a critical problem when these networks are deployed on resource-limited platforms.