Case Studies
ADAS Perception Tuning for OEM Platform
Refined multi-sensor fusion across a mid-volume SUV program, reducing false positives by 38% across 14 driving scenarios.
Predictive Maintenance Engine for EV Fleets
Deployed edge inference models that flagged drivetrain anomalies 11 days before failure across 4,200 connected vehicles.
Driver Behavior Profiling Module
Built a privacy-first scoring system influencing insurance premiums for a European mobility partner's commercial fleet.
HMI Personalization Stack
Architected an adaptive cockpit layer learning individual driver preferences across infotainment, climate, and assist settings.
ECU Software Validation Pipeline
Automated regression and scenario coverage for a tier-one supplier, compressing validation cycles from weeks to hours.
In-Cabin AI Safety Framework
Designed gaze, posture, and emotion detection meeting Euro NCAP 2026 occupant monitoring requirements for two platforms.
From sensor data to driver trust in 90 days
A North American OEM approached Autastec to overhaul its lane-keeping logic ahead of a platform refresh. We embedded with the controls team, instrumented the fleet, and rebuilt the decision layer using real-world telemetry.
The shipped module improved lane centering stability by 27% and reduced disengagement events on curved highways, passing internal sign-off two sprints ahead of schedule.
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Scaling a driver-assist feature from concept to ten vehicle lines
When a global manufacturer needed to unify its adaptive cruise behavior across fragmented regional variants, Autastec consolidated logic into a single configurable stack. We preserved regional driving nuances without forking the codebase.
The unified platform now serves ten vehicle lines, with over-the-air tuning that responds to aggregated fleet feedback within a single release window.
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