GPS and IMU acquisition, trajectory and indicator processing, dashboards and data publication to support race operations.
CID 2025 · Photo Mark Edward FerrerCONTEXT
Context and objective
Drifting assessment combines human judgement with parameters such as line, angle and speed. Data had to be captured in dynamic conditions, associated with runs and track zones, and made available quickly to operators and drivers.
SYSTEM
Architecture
An in-car unit acquires high-rate GPS and IMU data, transfers it to application services, processes each run and feeds an operational dashboard and web page for result review.
Devices and sensors
- Lightweight in-car unit
- High-rate GNSS receiver
- IMU for vehicle dynamics and angle
- Replaceable battery power
Connectivity and protocols
- GNSS and inertial acquisition
- Mobile connectivity
- Application APIs
- HTML result distribution
Dashboards and operations
- Arming and run association
- Trajectory replay
- Speed and angle charts
- Indicator and attack-zone comparison
HDA contribution
- Telemetry system architecture
- Hardware and software integration
- Indicator processing
- Dashboard and operational workflow
CID / FIELD LOG
Four seasons in the field.
A technical presence developed across multiple Italian Drifting Championship seasons, spanning track configuration, run acquisition and operational support.
Open the complete archiveEVIDENCE
Outcomes and evidence
Public documentation records its use as official telemetry during the 2021 season. The photo and media archive documents continued activity in later seasons; we do not publish unverified performance metrics.
TRUST
Role of Trusted Data
Traceability of acquisitions, runs and transformations can support transparency and review. The primary value remains operational telemetry; notarisation is a separate requirement.