AUTOMOTIVE
Cruise along into the future of mobility
Building next-gen, AI-enabled, high-compute SoCs along with complex software stacks for Software-Defined Mobility systems that are inherently safe and secure, by leveraging our experience in Semiconductor design, Embedded and Digital Software.
Analytics & Digital Services
Expertise
Ignitarium offers development and optimization of Deep Learning AI models operating on data feeds from Camera, LiDAR and RADAR sensors. Our multi-modality data fusion expertise combined with live & synthetic data management knowhow allows us to create perception software that meet the needs of future mobility systems.
Add to this microservices frameworks that can seamlessly and securely connect containerized in-vehicle applications to their digital twins on cloud, and you have all the ingredients required for building the next generation Cloud-connected Software Defined Vehicle.
Autonomous
- Model Development for various sensor feeds [2D/3D Camera, LiDAR, RADAR]
- Multi-modal Sensor Fusion
- DL model porting and optimization on heterogeneous compute
- Benchmarking and Validation of Models
Digital Services
- Full stack App development
- Vehicle to Cloud (Service Oriented Architecture)
- DevOps & MLOps pipeline creation and optimization
Data Preparation for Deep Learning
- Data Annotation
- Synthetic Data Generation
- Simulation (Gazebo, Unity)
Battery Management System (BMS) Analytics
- Prediction of State-Of-Charge (SOC), State-Of-Health (SOH), Remaining-Useful-Life (RUL)
- Real-time prediction of BMS parameters via applications running on in-vehicle MCUs
- Cloud-based Digital Twins of in-vehicle BMS applications
- Off-line Cloud-based analytics of long term BMS parameters from multiple EVs
Videos
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‘Early Video’ in Android Automotive on NXP i.MX8QM
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Seamless car-to-cloud connectivity platform
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QNX Safety Hypervisor on NXP i.MX8QM
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AGL-based Infotainment and Digital Cluster on NXP i.MX8M Quad
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'Early Audio' in Android Automotive on NXP i.MX8 Quad Max
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Cirrus – Ignitarium’s Cloud to Edge Device Orchestration Platform
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3D LIDAR based Vehicle Detection on TI TDA4VM
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ML-based Parameter Prediction of Battery-Management-System
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Android Automotive on NXP i.MX8QM
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Driver Monitoring System on TI TDA4VM
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FuSa capabilities
Case Studies
AUTOMOTIVE
FuSa Qualification of an Automotive SoC
Gap analysis, implementation of remedial actions and qualifications of digital IP components for an automotive SoC.
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AUTOMOTIVE
Development of an Automotive SoC
Architecture design and verification of a radar chip.