INTENT-ESTIMATION- AND MOTION-MODEL-BASED COLLISION AVOIDANCE METHOD FOR AUTONOMOUS VEHICLES IN URBAN ENVIRONMENTS

Intent-Estimation- and Motion-Model-Based Collision Avoidance Method for Autonomous Vehicles in Urban Environments

Existing collision avoidance methods for autonomous vehicles, which ignore the driving intent of detected vehicles, thus, cannot satisfy the requirements for autonomous driving in urban environments because of their high false detection rates of collisions with vehicles on winding roads and the missed detection rate of collisions with maneuvering v

read more


Health disparities and equity in the era of COVID-19

Over the last year, COVID-19 has emerged as a highly transmissible and lethal infection.As we address this global pandemic, its disproportionate impact on Black, Indigenous, and Latinx communities has served to GLYCINE POWDER further magnify the health inequities in access and treatment that persist in our communities.These sobering realities shoul

read more