The bus went quiet at 04.700. The head unit noticed at 04.731.
Upload a CAN trace and a bugreport together. Frames, VHAL property events and the infotainment log land on one clock.
The frame that never arrived at 04.700 is the instant the head unit first said something was wrong.
11 frames missing, 100 ms schedule
The frame that never arrived at 04.700 is the same instant the head unit first said something was wrong. One clock, every source, read across at that instant.
The bus went quiet at 04.700. The head unit noticed at 04.731.
Upload a CAN trace and a bugreport together. The frames, the VHAL property events and the infotainment log land on one clock, and you ask what happened in the 31 ms between.
A CAN bus signal crosses ECU boundaries, passes through vehicle HAL abstractions, and surfaces as an Android framework event. The failure chain spans four or more layers, and no existing tool connects them.
Issues cascade across IVI head units, digital clusters, ADAS modules, and connectivity ECUs. A single root cause in one compute node triggers symptoms across the entire vehicle software system.
1 to 10 GB and more of CAN trace data, thousands of signals at 100 Hz across dozens of ECUs. Correlating that with Android logs, VHAL dumps and kernel events by hand is a multi-day effort.
The cost of a missed bug is enormous.
Why vehicle software debugging is hard
Failures cross invisible boundaries between vehicle hardware, ECU firmware, VHAL, and the Android stack. No single tool sees the full chain.
From five clocks to one
Vehicle software debugging today means stitching together five disconnected tools, each with its own clock. logcat.ai replaces that workflow with one upload and one question.
An investigating agent that works cross-layer vehicle issues step by step. It traces CAN signals through VHAL to the Android framework, correlates thermal events with driver behavior, and builds a root cause report you review before acting on it.
Compare bugreports and CAN traces across BSP versions, OTA updates, and vehicle variants. Isolate regressions that appeared between firmware releases. Catch what changed before it reaches production.
Learn more about DeltaTrace issues from CAN bus signals to VHAL property events to the Android framework to the kernel. The full failure chain is reconstructed across every boundary in the vehicle software stack.
Determine whether an issue originates in vehicle hardware, BSP firmware, Android framework, or application code, and end the cross-team blame game in minutes instead of days.
Multi-step investigation that traces issues across every layer of the vehicle stack.
Compare logs across OTA versions, vehicle variants, and BSP releases to isolate regressions.
Automated analysis across CPU, memory, network, power, storage, security, and more.
Built for the distributed vehicle software system
Tools that understand the full vehicle stack, from CAN bus signals to Android framework events, on the one clock the hero already showed you.
The same second of the same drive on both builds. The frame that only goes missing on the new build is the regression, and the log lines that appear only there are its symptoms.
OTA regression detection with Delta
Upload CAN traces, bugreports, and kernel logs from before and after an OTA update. Delta correlates timestamps across all sources and isolates exactly what changed, and what broke.
Learn more about DeltaDebug infotainment crashes, display failures, audio routing issues, and navigation hangs across Android Automotive head units.
Investigate VHAL integration issues, CarService failures, thermal throttling, and BSP-level driver problems across vehicle variants.
Debug UI rendering issues, touch input latency, display pipeline failures, and animation frame drops across vehicle displays and instrument clusters.
Validate OTA updates, compare pre and post update logs with Delta, and catch regressions before they reach production vehicles.
Automotive engineers across the distributed vehicle software system
Each team lives on a different part of the cluster. The same upload answers all of them.
Full system diagnostics from IVI, digital cluster, and ADAS modules running Android Automotive OS.
candump text, Vector .asc and .blf, and DTS .trc traces read directly; PCAN-View .trc and .mf4 via a text export. Vector recordings upload well past the ordinary size limit.
Vehicle HAL property events, CarService dumps, and AAOS-specific framework diagnostics.
dmesg from vehicle BSPs: device tree issues, thermal zone events, driver probe failures.
Supported log types, and how to export them
Upload logs from IVI head units, digital clusters, ADAS modules, and CAN bus capture tools. Each lane on the cluster is one of these four sources, captured from your vehicle development setup.
Analyzers for the vehicle stack
From IVI traces to kernel crash dumps, every signal has a dedicated deep-dive.
Frequently asked questions
Common questions about automotive log analysis.
candump text output, Vector ASCII (.asc) and Vector binary (.blf) logs, and DTS diagnostic (.trc) traces upload as they are; the Vector formats include CAN FD and 29-bit extended identifiers. PCAN-View .trc files and .mf4 measurement files need a text export first, and the automotive guide has the steps. Vector recordings upload well past the ordinary size limit, with thousands of signals across dozens of ECUs.
Yes. Delta accepts CAN traces alongside Android bugreports and kernel logs. It correlates timestamps across all sources to trace issues from vehicle bus signals through VHAL to Android framework events, finding cross-layer root causes automatically.
For Android logs, standard ADB is sufficient. For CAN bus data, Vector CANalyzer or CANoe recordings and candump output upload as they are; the formats question above says which vendor formats need a text export first. VHAL and CarService logs can be captured with standard Android dumpsys commands.
logcat.ai works with any Android Automotive OS deployment: from IVI head units to digital clusters to ADAS modules. We support ARM and x86 architectures, and our kernel analysis covers vehicle-specific BSPs from major silicon vendors.
Deep Research is an investigating AI agent that works vehicle issues step by step. It parses CAN signals, traces VHAL property events, correlates framework logs, and searches for known issues, building a root cause report with citations in 5 to 10 minutes, for you to review.
Upload bugreports from before and after an OTA update. Delta compares them side by side, identifying new crashes, changed behavior, performance regressions, and driver failures that appeared between firmware versions. It is particularly useful for BSP updates where regressions can be subtle.
Your log data is encrypted in transit (TLS 1.3) and at rest (AES-256), processed in your own tenant, and never used to train AI models. Files are deleted after 90 days, or immediately from your dashboard. Enterprise plans offer on-premise deployment for regulated or air-gapped environments.
Start analyzing your vehicle logs.
See how logcat.ai can reduce your automotive debugging time from days to minutes. Full access during your 30 day pilot.