Autonomous Mobility: Multi-Sensor Data for Next-Gen ADAS
NLPC engineers the high-fidelity datasets required for Level 4 and 5 autonomous systems. We specialize in pixel-perfect computer vision, in-cabin speech for HMI, and precision HD mapping data, aligned with global safety standards.
Sovereign Data for European Mobility
The path to fully autonomous mobility requires more than just raw data; it demands high-fidelity, sovereign data architectures that respect regional safety and privacy mandates. NLPC actively engages with European initiatives like the Big Data Value Association (BDVA.eu) to align with sovereign data standards and contribute to the European AI strategy for autonomous mobility.
Our automotive data pipelines are optimized for the most rigorous industry standards, including ISO 26262 (Functional Safety) and ASPICE. We provide the ground truth required to train perception models that can handle the extreme variability of real-world driving environments, from urban congestion to adverse weather edge cases.
ISO & ASPICE ALIGNMENT
Rigorous data provenance and quality control mapping directly to automotive safety and process integrity standards.
MULTI-MODAL FUSION
Synchronized datasets across LiDAR, Radar, Camera, and GNSS for comprehensive environment perception training.
Automotive Data Modalities
Technical training data for every layer of the modern intelligent vehicle.
Autonomous CV
High-precision annotation for object detection, semantic segmentation, and optical flow across all driving conditions.
- LiDAR Point Cloud Tagging
- 3D Bounding Boxes
- Adversarial Edge Cases
In-Cabin HMI Voice
High-fidelity speech datasets captured in real moving vehicles to train robust cockpit assistants.
- Far-Field Speech Capture
- Multi-Dialect UI Control
- Acoustic Noise Profiling
HD Mapping & GIS
Centimeter-accurate localization data and semantic mapping layers for route planning and infrastructure interaction.
- Semantic Map Layers
- SLAM Ground Truth
- V2X Interaction Data
Precision Ground Truth
Autonomous systems fail at the edges. NLPC provides the pixel-perfect ground truth required to overcome these failures, operating within ISO 21448 (SOTIF) guidelines to minimize risks from functional inadequacies.
- Sensor-to-World Alignment: Sub-millimeter precision in multi-sensor calibration datasets for temporal and spatial synchronization.
- Global Environmental Diversity: Datasets spanning all continents, weather types, and lighting conditions to prevent geographic bias.
- Audit-Ready Provenance: Full traceability for every annotated pixel, meeting the safety-critical requirements of modern OEMs.
Explore the NLPC Ecosystem
Connected resources, methodologies, and compliance frameworks for Automotive AI.
DATA & ANNOTATION
TRUST & PROOF
RESEARCH & INSIGHTS
Technical Specifications
Safety-Critical Compliance
Our data collection protocols are mapped against ISO 26262 and SOTIF guidelines. We provide specialized datasets for ADAS testing, including pedestrian intent prediction and dynamic object tracking in low-visibility environments.
Format & Delivery Ecosystem
Native support for ROSbag, Apollo, and Autoware compatible formats. HD Map delivery in OpenDRIVE, ADDS, and lane-level vector formats. Optimized for ingestion into cloud-based simulation environments like NVIDIA DRIVE Sim or AWS RoboMaker.
Expert Human-in-the-Loop
Annotation is performed by specialized technicians trained in LiDAR interpretation and GIS mapping. Our "Master-in-the-Loop" validation ensures 99.9%+ accuracy on critical safety markers like stop-line distances and vehicle trajectory ground truth.
European Data Sovereignty
Committed to the European data strategy through active participation in BDVA.eu initiatives. We ensure all regional data collection adheres to GDPR and sovereign mobility standards.
Begin Your Automotive AI Project
Connect with our automotive data architects to define your sensor suite, compliance, and simulation requirements.