Existing vision based supervised approaches to lateral vehicle control are capable of directly mapping RGB images the appropriate steering commands. However, they prone suffering from inadequate robustness in real world scenarios due a lack failure cases training data. In this paper, framework for more robust and scalable model is proposed. The only requires an unlabeled sequence images. traine...

Abstract Supervised deep learning methods using image data as input have shown promising results in the context of vehicle control. However, these supervised two main disadvantages: 1) They require a copious amount labeled training data, which is difficult and expensive to collect. 2) Such models do not perform well, when situations that are distribution set encountered. This includes deviation...

OBJECTIVE To investigate whether one can differentiate injured and uninjured young children based on child behavioural attributes or indices of caregiver supervision. METHOD A matched case-control design was used in which case participants were children presenting to an emergency department for treatment for an injury and age/sex matched control participants presented for illness-related reas...

The key to establish the internal control frame system of colleges is to confirm the internal control target and the control factors. The internal control target concludes the schooling effect and efficiency, the safety and integrity of assets, the real, complete, and useful accounting and management information, and following national laws and regulations. The factors of internal control could...

At the very beginning of working with the group as a supervisor – the dynamics of which I will analyse more thoroughly in the section Personal Experience, group members were discussing their personal experience of the supervisee’s position, their past, present and anticipated relationship with the supervisor and their experience of the supervision of the supervisor. Although they broached many ...

OBJECTIVE This study aimed to identify self report questionnaire measures of parent attributes and behaviors that have relevance for understanding injury risk among children 2-5 years of age, and test a new Parent Supervision Attributes Profile Questionnaire (PSAPQ) that was developed to measure aspects of protectiveness and parent supervision. METHODS Naturalistic observations were conducted...