For the companies to be ahead of the competition, starting from ground zero and being on time to market is next to impossible. At Auto Karmas we recognise this challenge and have taken this up as an opportunity and are working on a few frameworks and products which helps our clients in faster time, to market strategy.
Some of the frameworks we are working on are related to battery management solutions, basic AUTOSAR software and Algorithms for autonomous vehicle functions.
Apart from frameworks we are working on some aftermarket software products aligned to Automotive industry. We have and are investing partners as well, in building solutions faster.
Our case studies
Vehicle to Everything Communication (V2X)
Vehicle-to-everything(V2X) communication systems connect directly to smart sensors and cameras. We are working on a single Domain Controller Architecture concept, where Body Control, Powertrain, Telematics, OTA, or EVs interacting with the charging station to enable secure billing, all running on one powerful processor under this Architecture defined in-line with AUTOSAR Systems.
Digital cockpit
Designing a scalable and secure software architecture for a European Tier-1 by leveraging advanced analytics and AI (Artificial Intelligence) capabilities to enable real-time monitoring of vehicle performance, safety, and comfort. The architecture can run multiple OS and applications to combine distributed functionalities.
V&V: Sensor System validation
Providing end-to-end system test and validation of vehicle sensor systems. The complexity of testing intelligent and autonomous vehicles with active safety, ADAS & autonomous development has increased significantly. We help with multiple facets of this testing across automotive systems.
Vehicle Health Management Platform
Utilize AI and in vehicle data to provide early warnings of potential malfunctions in vehicles, helping the customer to plan their service time, reduce severe damages if warning indicators show up, fuel consumption information, and more.
AI Power infotainment
Key Components of AI powered infotainment: Voice recognition: Provide hands free interaction. Machine learning: Enable infotainment systems to learn from drivers. Natural language processing: enable computers to understand, interpret, and generate human language. Data analytics: Help process large amounts of information
