3 papers
cs.IT2024
Distributed and Rate-Adaptive Feature Compression
Aditya Deshmukh, Venugopal V. Veeravalli, Gunjan Verma
We study the problem of distributed and rate-adaptive feature compression for linear regression. A set of distributed sensors collect disjoint features of regressor data. A fusion…
cs.HC2023
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections
Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang +1
In mixed traffic environments that involve conventional vehicles (CVs) and autonomous vehicles (AVs), it is crucial for CV drivers to maintain an appropriate level of situation awa…
cs.HC2023
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users
Aditya Deshmukh, Zifei Wang, Aaron Gunn +6
Automated vehicles (AVs) are of great potential in reducing crashes on the road. However, it is still complicated to eliminate all the possible accidents, especially those with vul…