English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Human-computer interaction (HCI) is crucial for the safety of lives asautonomous vehicles (AVs) become commonplace. Yet, little effort has been puttoward ensuring that AVs understand humans on the road. In this paper, wepresent GLADAS, a simulator-based research platform designed to teach AVs tounderstand pedestrian hand gestures. GLADAS supports the training, testing, andvalidation of deep learning-based self-driving car gesture recognition systems.We focus on gestures as they are a primordial (i.e, natural and common) way tointeract with cars. To the best of our knowledge, GLADAS is the first system ofits kind designed to provide an infrastructure for further research intohuman-AV interaction. We also develop a hand gesture recognition algorithm forself-driving cars, using GLADAS to evaluate its performance. Our results showthat an AV understands human gestures 85.91% of the time, reinforcing the needfor further research into human-AV interaction.

GLADAS: Gesture Learning for Advanced Driver Assistance Systems