Perception & Sensor Fusion
- 2D/3D detection, tracking, free-space, and traffic sign/light understanding
- Multi-sensor fusion for robustness across weather & lighting
- Latency-aware pipelines and runtime profiling
Building the Autonomous Vehicle Stack and ADAS Systems empowered by AI.
Naradhi develops perception, prediction, planning, and validation capabilities designed for safety, performance, and real-world deployment.
Focus
ADAS → L2/L3+
Driver assistance features, scalable toward autonomy with rigorous validation.
Core
AI Perception
Camera/radar/lidar fusion, object detection, lane & sign understanding.
Engineering
V&V Tooling
Scenario testing, simulation pipelines, metrics, and evidence generation.
Tip: the moving background is a lightweight simulation-style visualization (runs locally in your browser).
Solutions
Modular components that map to production autonomous driving programs.
Prediction & Behavior Modeling
- Intent prediction and trajectory forecasting
- Uncertainty modeling for safer downstream planning
- Edge-case discovery & coverage
Planning & Safety Architecture
- Rule-based + learning-based planning integration
- Safety envelopes, fallback behaviors, and constraint handling
- Evidence-driven safety arguments (supports compliance workflows)
Simulation, Validation & Tooling
- Scenario generation, replay pipelines, and regression tests
- Metrics dashboards and failure clustering
- Reproducible experiment tracking and report automation
Products
Early-stage offerings. Public visibility stays free; advanced tools can be gated later.
Naradhi Scenario Suite
Scenario packs and evaluation harnesses for ADAS/autonomy validation.
SimulationMetricsRegression
Perception Diagnostics Kit
Debug overlays, confidence analysis, and dataset slice tools for perception models.
PerceptionExplainabilityData QA
Evidence Builder
Automated evidence generation: scenario → run → metrics → report.
V&VReportsAudit
Research
Notes, write-ups, and publications. (You can later gate downloads via a separate private repo.)
Robust token confidence from vision-only signals (OCR / signs)
Traffic sign understanding: subtype mismatch detection & correction
Simulation-driven validation strategy for ADAS perception
Blog
Short engineering posts. (Start simple; later you can add markdown posts.)
About
Naradhi is building practical, safety-minded autonomy systems with strong engineering rigor.
Naradhi focuses on autonomous driving stacks and ADAS systems empowered by AI—spanning perception, validation tooling, and deployable engineering practices. The goal is simple: build technology that works in the real world, handles edge cases, and can be validated with evidence.
Contact
For partnerships, pilots, or early access to tools.
Email: contact@naradhi.com
Later you can add a “Request Access” form here to track adoption without charging money.