MAPACHE – AN INTELLIGENT, REAL-TIME TELEMETRY PLATFORM FOR FORMULA SAE

In motorsport, real-time data is key to performance and reliability, but many Formula SAE teams forgo telemetry due to the complexity of traditional systems. We present Mapache, a real-time telemetry and data analytics platform developed by Gaucho Racing, the Society of Automotive Engineers (SAE) chapter at the University of California, Santa Barbara. Mapache eliminates the need for base stations or dedicated personnel, making high-performance telemetry more accessible and resilient. The on-vehicle system decodes CAN messages, streams telemetry via MQTT when connectivity is available, and caches data locally when offline. Upon reconnection, a GPU- accelerated pipeline ensures zero-loss migration of cached data to the cloud. MQTT messages are ingested into a SingleStore database, powering real-time, low-latency analytics. As the first system of its kind in Formula SAE, Mapache sets a new benchmark for intelligent telemetry.

Authors

Publication Details

Journal
UA Campus Repository (The University of Arizona)
Published
2025-10-01
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MAPACHE – AN INTELLIGENT, REAL-TIME TELEMETRY PLATFORM FOR FORMULA SAE

Bharat Kathi, Jacob Jurek, Andrey Otvagin, Austin Chan et al.
UA Campus Repository (The University of Arizona)
Real-Time Systems Scheduling
article

MAPACHE – AN INTELLIGENT, REAL-TIME TELEMETRY PLATFORM FOR FORMULA SAE

Bharat Kathi, Jacob Jurek, Andrey Otvagin, Austin Chan, Colin Bickel
article en

Abstract

In motorsport, real-time data is key to performance and reliability, but many Formula SAE teams forgo telemetry due to the complexity of traditional systems. We present Mapache, a real-time telemetry and data analytics platform developed by Gaucho Racing, the Society of Automotive Engineers (SAE) chapter at the University of California, Santa Barbara. Mapache eliminates the need for base stations or dedicated personnel, making high-performance telemetry more accessible and resilient. The on-vehicle system decodes CAN messages, streams telemetry via MQTT when connectivity is available, and caches data locally when offline. Upon reconnection, a GPU- accelerated pipeline ensures zero-loss migration of cached data to the cloud. MQTT messages are ingested into a SingleStore database, powering real-time, low-latency analytics. As the first system of its kind in Formula SAE, Mapache sets a new benchmark for intelligent telemetry.

UA Campus Repository (The University of Arizona)
Openalex Percentile: Top 24%
Real-Time Systems Scheduling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.