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Global Automotive OEMs
Tier 1 ADAS Suppliers
Vision & Sensor Manufacturers
NATRAX Government Test Facility
Health-Tech Sensor Labs
Case Study 01 · Automotive Test Track

First Structured ADAS & Autonomous Driving Data Program at NATRAX

Pioneering the first-ever utilization of NATRAX (National Automotive Test Tracks), Asia's longest automotive test facility, for high-precision sensor fusion and edge-case scenario collection.

1,200+
Hours Track Telemetry
45+
Dynamic Edge Scenarios
±2 cm
RTK-GPS Ground Truth

The Engineering Challenge

An international Tier 1 ADAS developer needed high-speed dynamic scenario validation (120+ km/h lane changes, cut-in trajectories, sudden braking, and tunnel-to-sun glare transitions) under rigorous safety controls. Public road collection was both illegal for extreme maneuvers and lacked repeatability for ISO 21448 (SOTIF) compliance.

The PTE Solution

PTE secured exclusive access to NATRAX in Madhya Pradesh, deploying instrumented test mules fitted with synchronized multi-sensor arrays: 60GHz automotive radar, 128-beam 360° LiDAR, stereo NIR+RGB forward cameras, and RTK-GPS centimeter-accurate ground truth. Professional test drivers executed reproducible safety-critical scenarios under varying sun angles, wet track conditions, and artificial vehicle clutter.

Client Impact & Standards

Delivered synchronized ROS2 rosbag datasets annotated with 3D bounding cuboids and trajectory ground truth. The client reduced sensor fusion calibration time by 35% and submitted compliant test data for Euro NCAP active safety audit.

NATRAX automotive test track high speed oval and proving grounds
Driver monitoring cockpit camera tracking gaze and attention
Case Study 02 · In-Cabin Perception

Multi-Demographic Driver Monitoring System (DMS) & Cognitive Fatigue Dataset

Powering Euro NCAP 2023–2026 DMS Protocol and UNECE GSR (Regulation EU 2019/2144) DDAW validation with 5,000+ vetted participants across 20+ nationalities.

5,000+
Subjects (20+ Countries)
350K+
Annotated Frames
-42%
Model False Alarms

The Engineering Challenge

Euro NCAP and EU General Safety Regulation (GSR) mandate intelligent Driver Drowsiness and Attention Warning (DDAW) and Distraction Warning (ADDW) systems. Commercial vision models trained on homogenous demographics suffered from high false alarm rates with varied eye morphology, prescription glasses, sunglasses, religious headwear, and facial hair.

The PTE Solution

PTE executed an ethically compliant in-cabin campaign enrolling 5,000+ subjects spanning infants in rear-facing car seats to senior drivers aged 75. Cabin rigs combined 940nm active NIR cameras, high-definition RGB cameras, and wireless 8-channel EEG headbands to capture ground-truth neurological fatigue alongside visible PERCLOS (Percentage of Eye Closure) and gaze vectors.

Client Impact & Standards

Delivered comprehensive frame-level annotations (68-point 3D facial landmarks, head pose pitch/yaw/roll, blink duration, eye gaze coordinates, yawn detection, and phone distraction). Client achieved a 42% decrease in false-positive fatigue warnings across global demographic cohorts.

Case Study 03 · Child Presence Detection

Pediatric & Occupant Vital Signs Dataset for Euro NCAP Child Presence Detection (CPD)

Conducting ethically approved, guardian-accompanied physiological and micro-movement sensor data collection to prevent vehicular heatstroke fatalities.

6 mo - 12 yr
Pediatric Cohort Range
100%
Guardian Consent & IRB
99.4%
Client Radar CPD Accuracy

The Engineering Challenge

Euro NCAP rewards vehicle manufacturers for systems that detect unattended children in locked vehicles. Optical cameras struggle when infants are hidden under heavy blankets, swaddles, or in rear-facing child restraint systems (CRS), requiring multi-sensor fusion with in-cabin 60GHz micro-radar.

The PTE Solution

Under strict Institutional Review Board (IRB) ethics approval and verified parental written consent conforming to India's DPDP Act 2023 and GDPR Article 8, PTE conducted controlled in-cabin recordings. We recorded breathing micro-chest motions, heart-rate vitals, and sleep positions across 12 occlusion configurations (thick blankets, footwells, rear-facing capsules).

Client Impact & Standards

The combined radar point cloud and optical dataset allowed the client's deep learning fusion network to reach 99.4% detection accuracy for fully occluded sleeping infants, earning top 4-point Euro NCAP CPD safety ratings.

In-cabin radar and sensor fusion hardware for child presence detection
Technical Resources & Specifications

Download Sample Datasets & Technical Datasheets

Review our data formats, sensor calibration specifications, and ground-truth schemas to evaluate PTE datasets for your machine learning pipeline.

NATRAX Sensor Suite Datasheet

Full hardware specifications, 128-beam LiDAR densities, 60GHz FMCW radar coordinates, RTK-GPS ground truth precision, and track surface telemetry.

In-Cabin DMS Annotation Pack

Sample 500-frame annotated clip with 3D eye gaze vectors, PERCLOS fatigue scores, 68-point facial landmarks, and synchronized EEG bandpower schema.

Participant Cohort & Ethics Guide

Comprehensive breakdown of our 5,000+ participant pool across 20+ countries, age distribution (0.5 to 75 yrs), IRB approvals, and DPDP/GDPR compliance.

Ready to design your custom test track or DMS campaign?

Our engineering team can formulate a structured scene catalog, configure multi-sensor rigs, and deliver benchmark datasets matched to your AI validation roadmap.