Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data
Author:
Affiliation:
1. University of Texas at Dallas, USA
2. Honda Research Institute USA, Inc., USA
3. The University of Texas at Dallas, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340555.3353749
Reference25 articles.
1. D3: Abnormal driving behaviors detection and identification using smartphone sensors
2. Towards Diverse and Natural Image Descriptions via a Conditional GAN
3. Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed
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