Structured Testing Framework for ADAS Algorithm Development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Formalized software testing is becoming increasingly common for software teams. However, existing frameworks suffer from test development that is inflexible and tedious to update as the software stack itself changes. Additionally, the time and resources spent in creating test cases can often be a deterrent for continual test case development. This paper proposes a testing framework, called structured testing, that works at both integration and system test levels in ROS 2. Though primarily built for ADAS/AV development, it is flexible to adaption for other domains. It focuses on intuitive test specification and a simulator agnostic input in the form of ROS bag files. Additionally, though integrated with Gitlab's CI tool as an example, it is integrable with any similar standard CI tool for test automation. The framework is compared to the standard ROS 2 integration testing protocol and shows comparative improvements in ease of use as well as a reduction in compute resource consumption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it