5 papers
Towards Generative Predictive Display for Vision-Based Teleoperation: A Zero-Shot Benchmark of Off-the-Shelf Video Models
Aws Khalil, Jaerock Kwon
Teleoperation systems are fundamentally limited by communication latency, which degrades situational awareness and control performance. Predictive display aims to mitigate this lim…
Nonlinear Performance Degradation of Vision-Based Teleoperation under Network Latency
Aws Khalil, Jaerock Kwon
Teleoperation is increasingly being adopted as a critical fallback for autonomous vehicles. However, the impact of network latency on vision-based, perception-driven control remain…
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
Elahe Delavari, Aws Khalil, Jaerock Kwon
End-to-end vision-based imitation learning has demonstrated promising results in autonomous driving by learning control commands directly from expert demonstrations. However, tradi…
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
Donghyun Kim, Aws Khalil, Haewoon Nam +1
Autonomous Vehicles (AV) and Advanced Driver Assistant Systems (ADAS) prioritize safety over comfort. The intertwining factors of safety and comfort emerge as pivotal elements in e…
PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles
Aws Khalil, Jaerock Kwon
This study introduces the Perception Latency Mitigation Network (PLM-Net), a modular deep learning framework designed to mitigate perception latency in vision-based imitation-learn…