Visual attention for behavioral cloning in autonomous driving

Tharun Mohandoss; Sourav Pal; Pabitra Mitra

doi:10.1117/12.2522915

15 March 2019 Visual attention for behavioral cloning in autonomous driving

Tharun Mohandoss, Sourav Pal, Pabitra Mitra

Author Affiliations +

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110411E (2019) https://doi.org/10.1117/12.2522915
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

The goal of our work is to use visual attention to enhance autonomous driving performance. We present two methods of predicting visual attention maps. The first method is a supervised learning approach in which we collect eye-gaze data for the task of driving and use this to train a model for predicting the attention map. The second method is a novel unsupervised approach where we train a model to learn to predict attention as it learns to drive a car. Finally, we present a comparative study of our results and show that the supervised approach for predicting attention when incorporated performs better than other approaches.

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Tharun Mohandoss, Sourav Pal, and Pabitra Mitra "Visual attention for behavioral cloning in autonomous driving", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411E (15 March 2019); https://doi.org/10.1117/12.2522915

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