8 citations · 10 across the 13 of their papers we have counts for
7 papers · 1 filter
Embodied AI in Action: Insights from SAE World Congress 2026 on Safety, Trust, Robotics, and Real-World Deployment
Jan-Mou Li, Paul Schmitt, Wei Tong +4
Embodied artificial intelligence is rapidly moving from research into real-world systems such as autonomous vehicles, mobile robots, and industrial machines. As these systems becom…
Car-STAGE: Automated framework for large-scale high-dimensional simulated time-series data generation based on user-defined criteria
Asma A. Almutairi, David J. LeBlanc, Arpan Kusari
Generating large-scale sensing datasets through photo-realistic simulation is an important aspect of many robotics applications such as autonomous driving. In this paper, we consid…
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
Hanxi Wan, Pei Li, Arpan Kusari
With the advent of universal function approximators in the domain of reinforcement learning, the number of practical applications leveraging deep reinforcement learning (DRL) has e…
Object level footprint uncertainty quantification in infrastructure based sensing
Arpan Kusari, Asma Almutairi, Mark E. Gilbert +1
We examine the problem of estimating footprint uncertainty of objects imaged using the infrastructure based camera sensing. A closed form relationship is established between the gr…
Operational requirements for localization in autonomous vehicles
Arpan Kusari, Satabdi Saha
Autonomous vehicles (AVs) need to determine their position and orientation accurately with respect to global coordinate system or local features under different scene geometries, t…
A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA
Pei Li, Arpan Kusari, David J. LeBlanc
Traffic simulation is an efficient and cost-effective way to test Autonomous Vehicles (AVs) in a complex and dynamic environment. Numerous studies have been conducted for AV evalua…