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Vehicle Telematics

Engineering-grade telematics with control, transparency, and uptime

AutoPi TMU CM4 is an embedded Linux telematics unit built for engineering teams that need direct and programmable access to vehicle networks. It interfaces with raw CAN, CAN-FD, J1939, and OBD-II, exposing the full Raspberry Pi CM4 stack with open APIs for custom data acquisition, edge processing, and integration logic.

The device ingests high-frequency bus traffic, timestamps it on-device, and streams or buffers it over 4G/LTE, WiFi, or Ethernet with retry, compression, and rate control. Developers can deploy parsers, watchdogs, and automation scripts using standard Linux tooling, backed by secure boot, device certificates, and TLS transport.

Integrate with existing systems via REST, MQTT, and webhooks; manage OTA updates, parser versions, and configuration profiles from a unified interface. Suitable for mixed ICE/EV fleets, prototyping, test benches, and production-grade telematics deployments requiring transparency down to every frame and timestamp.

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Solution Highlight

Unlock telematics innovation with engineering-grade capabilities

Build advanced telematics systems on top of the AutoPi TMU CM4. An embedded Linux platform with direct access to vehicle networks, programmable edge logic, and modular expansion options for demanding automotive applications.

AutoPi TMU CM4 opens up showing hardware gif

The TMU CM4 exposes the full Raspberry Pi Compute Module 4 environment, enabling developers to deploy parsers, automation, and data pipelines in standard Linux tooling. Dual CAN/CAN-FD interfaces provide direct access to OBD-II, J1939, and proprietary vehicle networks, while optional add-on boards extend the system with additional CAN channels or custom interfaces.

Integrated 4G/LTE with GNSS offers worldwide connectivity and positioning, including automatic fallback, buffering, and retry logic for noisy environments. The platform supports encrypted transport via TLS with device certificates, ensuring predictable and secure data flow whether connected to your backend or the AutoPi Cloud.

At its core is the Broadcom BCM2711 Quad-core Cortex-A72, delivering sufficient compute for edge analytics, compression, event detection, and protocol translation. Configurable memory modules provide flexibility for heavier workloads such as CAN-FD logging or high-frequency sensor processing.

The device supports Diagnostics over IP (DoIP), secure boot, and a dedicated hardware security element for credential protection and signed messaging. Certified for automotive deployment (CE/FCC), the TMU CM4 is suited for OEM integrations, retrofit programs, development benches, and large-scale fleet telematics where reliability, auditability, and full network transparency are required.

Related Features

Expand capabilities with core telematics functions

The AutoPi TMU CM4 integrates essential telematics functions used in engineering, diagnostics, and fleet operations, enabling real-time data access, secure remote control, and predictable device lifecycle management.

Icon of instantaneous vehicle data transmission
Real-time Vehicle Data Streaming

Ingest and publish high-frequency CAN/CAN-FD, OBD-II, and J1939 signals with millisecond-level timestamps. Stream data via MQTT or REST with rate control, buffering, and compression to support analytics, anomaly detection, and test-bench workflows.

Icon of OTA Updates in devices
Secure OTA Software + Firmware Updates

Deploy OS images, configuration profiles, and custom edge applications remotely. Updates are verified with cryptographic signatures, applied atomically, and logged with device, version, and timestamp metadata for audit and rollback.

Icon of device management
Remote Device Management

Monitor device health, logs, parser versions, and network status in real time. Apply configuration deltas, restart services, and push diagnostics via secure channels, ensuring consistent behavior across test fleets and production deployments.

Products

Equip telematics development with AutoPi products

AutoPi provides an integrated hardware–software stack for engineering-grade telematics. Developers gain direct access to vehicle networks, programmable edge logic, and cloud-based device and data management for building reliable, production-ready telematics systems.

AutoPi TMU CM4 telematics unit
Customizable Telematics Hardware

The AutoPi TMU CM4 is an embedded Linux telematics computer with dual CAN/CAN-FD, integrated 4G/LTE + GNSS, and full access to the Raspberry Pi CM4 environment. Developers can deploy custom parsers, automation scripts, and protocol bridges directly on the device, making it suitable for OEM integrations, test benches, and field deployments.

AutoPi TMU CM4
AutoPi Cloud management platform
Integrated Device and Data Management

AutoPi Cloud provides secure device provisioning, telemetry ingestion, OTA updates, configuration management, and operational monitoring. The platform exposes APIs, MQTT endpoints, and webhooks, enabling integration with 3rd-party systems or custom backend applications. All device actions and dataflows are logged with version, user, and timestamp metadata for audit and control.

AutoPi Cloud

Telematics by the Numbers: AutoPi Impact

Key operational metrics that reflect how AutoPi hardware and cloud infrastructure perform in production environments. These numbers highlight improvements in connectivity, update speed, developer throughput, and high-volume data handling.

70% Uptime Gain

Projects report up to 70% higher network uptime using LTE fallback, buffered uploads, and adaptive retry logic for CAN and GNSS data.

50% Faster OTA

Differential updates and compressed payloads reduce OTA deployment times by ~50%, improving rollout velocity across test fleets and production units.

80% Developer Adoption

Open APIs, Linux tooling, and protocol transparency drive high adoption among engineering teams building custom telematics and data pipelines.

5GB+ / Hour

Capable of processing and buffering more than 5GB/hr of high-frequency CAN-FD, sensor, and GNSS data for downstream analytics and diagnostics.

Why AutoPi?

Our role in Your Success

AutoPi provides an engineering-grade platform built for OEMs, integrators, and R&D teams developing telematics and connected-vehicle solutions. Our hardware delivers transparent access to CAN, CAN-FD, J1939, and OBD-II networks, while our cloud tools enable secure device lifecycle management, OTA deployments, parser versioning, and telemetry ingestion at scale. Whether you are validating new EV systems, building diagnostics tools, or deploying fleet-wide telematics infrastructure, AutoPi gives you the control, flexibility, and observability needed to move from prototype to production with confidence.

driving car with a widget showing vehicle data
Something unclear?

Frequently asked questions

Vehicle telematics is the end-to-end stack for acquiring, transmitting, storing, and acting on in-vehicle data. It combines in-vehicle hardware (CAN/OBD/DoIP interfaces, GNSS, connectivity), communication links (4G/LTE, WiFi, Ethernet), and backend services (APIs, storage, analytics) to expose signals such as speed, position, battery metrics, and diagnostics for business or engineering use-cases.

AutoPi TMU CM4 is an embedded Linux computer based on Raspberry Pi CM4, not a closed black box. It exposes raw CAN, CAN-FD, J1939, and OBD-II access, a full Linux environment, and open APIs, so engineering teams can deploy their own parsers, services, and integrations instead of being limited to fixed OEM firmware and dashboards.

AutoPi supports multiple in-vehicle protocols, including raw CAN, CAN-FD, J1939, and OBD-II on dual CAN interfaces. With optional hardware it can also support additional CAN channels and DoIP (Diagnostics over IP), enabling both traditional diagnostics and modern IP-based workflows on the same platform.

Yes. The device can be used in stand-alone or self-hosted setups by integrating directly with your own backends via MQTT, REST, or custom protocols. AutoPi Cloud adds managed provisioning, OTA updates, configuration, and monitoring on top, but is not technically required if you prefer to operate everything yourself.

Data is transmitted over 4G/LTE, WiFi, or Ethernet using TLS-encrypted channels and device certificates. The device can buffer data when connectivity is poor, apply rate limiting and compression, and then synchronize with the backend when the link is restored. All communication is authenticated and logged with device identity and timestamps.

AutoPi supports remote updates for OS images, applications, and configuration. Updates are signed, distributed via secure channels, and applied atomically with rollback options. Each update is tracked with device, version, and timestamp metadata, making it possible to audit exactly which software is running on which unit at any time.

AutoPi exposes REST APIs, MQTT topics, and webhooks that can be connected to your existing platforms for fleet management, analytics, billing, or OEM portals. Typical integrations include pushing normalized telemetry into data lakes, triggering events into message buses, or embedding AutoPi data into existing dashboards and applications.

AutoPi is designed for high-frequency data acquisition, including CAN-FD logging, multi-channel CAN, GNSS, and sensor data. Actual throughput depends on configuration, but the platform is used in scenarios processing gigabytes of data per hour with on-device filtering, aggregation, and buffering to keep downstream systems efficient.

Yes. Many teams start with AutoPi for lab and field prototyping because of its openness and Linux environment, then carry the same platform into pilot and production deployments. Certification, device management, and OTA capabilities support longer-term, large-scale deployments without having to change hardware mid-project.

At minimum you need an AutoPi device (for example TMU CM4 or CAN-FD-based hardware), a power and CAN/OBD connection to the vehicle, and a backend endpoint to receive data. Many projects also use AutoPi Cloud for provisioning, OTA, and monitoring. From there you can deploy your own parsers, configure data streams, and integrate the telemetry into your existing tools and workflows.

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