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

Major cause of midvehicle collision is due to the distraction of drivers inboth the Front and rear-end vehicle witnessed in dense traffic and high speedroad conditions. In view of this scenario, a crash detection and collisionavoidance algorithm coined as Midvehicle Collision Detection and AvoidanceSystem (MCDAS) is proposed to evade the possible crash at both ends of the hostvehicle. The method based upon Constant Velocity (CV) model specifically,addresses two scenarios, the first scenario encompasses two sub-scenarionamely, a) A rear-end collision avoidance mechanism that accelerates the hostvehicle under no front-end vehicle condition and b) Curvilinear motion based onfront and host vehicle offset (position), whilst, the other scenario deals withparallel parking issues. The offset based curvilinear motion of the hostvehicle plays a vital role in threat avoidance from the front-end vehicle. Adesired curvilinear strategy on left and right sides is achieved by the hostvehicle with concern of possible CV to avoid both end collisions. In thismethodology, path constraint is applicable for both scenarios with requireddirection. Monte Carlo analysis of MCDAS covering vehicle kinematicsdemonstrated acute discrimination with consistent performance for the collisionvalidated on simulated with real-time data.

A Novel Collision Detection and Avoidance system for Midvehicle using Offset-based Curvilinear Motion