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This paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.

In this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.

Comparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.

Reliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

Women entrepreneurs contribute significantly to Asian economies. However, women in this region face an alarming array of barriers to entrepreneurship. This research study aims to examine the factors, i.e. government support, family social support, financial literacy and managerial skills, in building the entrepreneurial capacity of women entrepreneurs under the lens of the person–environment (P-E) fit theory. Furthermore, the study also examines the moderating effect of socio-cultural barriers in the said relationships.

For the study, the data was collected from the owners of 311 women-owned manufacturing and services sector enterprises from the northern Indian community.

Findings suggest that all the factors significantly affect the entrepreneurial capacity of women entrepreneurs, and the barriers work as a moderator between the relationships.

Based on P-E fit theory, this unique research study proposes a model to test the role of factors such as government support, family social support, financial literacy and managerial skills in developing women entrepreneurs’ entrepreneurial capacity along with examining the moderating role of socio-cultural factors contributing to the entrepreneurial capacity of women.