survAIval: Survival Analysis with the Eyes of AI
In this study, we propose a novel approach to enrich the training data for automated driving by using a self-designed driving simulator and two human drivers to generate safety-critical corner cases in a short period of time, as already presented in~\cite{kowol22simulator}. Our results show that incorporating these corner cases during training improves the recognition of corner cases during testing, even though, they were recorded due to visual impairment. Using the corner case triggering pipeline developed in the previous work, we investigate the effectiveness of using expert models to overcome the domain gap due to different weather conditions and times of day, compared to a universal model from a development perspective. Our study reveals that expert models can provide significant benefits in terms of performance and efficiency, and can reduce the time and effort required for model training. Our results contribute to the progress of automated driving, providing a pathway for safer and more reliable autonomous vehicles on the road in the future.
Code (0)
등록된 구현이 없습니다.
Tasks
Autonomous VehiclesSurvival AnalysisSimilar Papers 제목 키워드 기반
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
Kernel survival analysis methods predict subject-specific survival curves and times using information about which training subjects are most similar to a test subject. These most similar training subjects could serve as …
PredictionPrediction IntervalsSurvival AnalysisvalidDatabase of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes
This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For that purpose we have collected a databas…
Iris RecognitionThe mouth speaks as much as the eyes: Free-ranging dogs depend on inner facial features for human recognition
The human face is a multi-signal system continuously transmitting information of identity and emotion. In shared human-animal environments, the face becomes a reliable tool of heterospecific recognition. Because humans d…
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
Kernel survival analysis models estimate individual survival distributions with the help of a kernel function, which measures the similarity between any two data points. Such a kernel function can be learned using deep k…
Neural Architecture SearchSurvival AnalysisReduction Techniques for Survival Analysis
In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that "reduce" a survival task to a more common regression or classification task, without ignoring the specific…