23 citations · 29 across the 9 of their papers we have counts for
9 papers
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang +4
Autonomous systems (AS) are systems that can adapt and change their behavior in response to unanticipated events and include systems such as aerial drones, autonomous vehicles, and…
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
Junyao Wang, Arnav Vaibhav Malawade, Junhong Zhou +2
Effectively capturing intricate interactions among road users is of critical importance to achieving safe navigation for autonomous vehicles. While graph learning (GL) has emerged…
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception
Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque
Autonomous vehicles use multiple sensors, large deep-learning models, and powerful hardware platforms to perceive the environment and navigate safely. In many contexts, some sensin…
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception
Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust perception across a wide range of driving contexts remains a significant challenge. Techniqu…
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu +3
In autonomous vehicles (AVs), early warning systems rely on collision prediction to ensure occupant safety. However, state-of-the-art methods using deep convolutional networks eith…
Multi-Modal Attack Detection for Cyber-Physical Additive Manufacturing
Shih-Yuan Yu, Arnav Vaibhav Malawade, Mohammad Abdullah Al Faruque
Cyber-Physical Additive Manufacturing (AM) constructs a physical 3D object layer-by-layer according to its digital representation and has been vastly applied to fast prototyping an…
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu +3
Recently, road scene-graph representations used in conjunction with graph learning techniques have been shown to outperform state-of-the-art deep learning techniques in tasks inclu…
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control
Arnav Malawade, Mohanad Odema, Sebastien Lajeunesse-DeGroot +1
Autonomous vehicles (AV) are expected to revolutionize transportation and improve road safety significantly. However, these benefits do not come without cost; AVs require large Dee…
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan +2
Despite impressive advancements in Autonomous Driving Systems (ADS), navigation in complex road conditions remains a challenging problem. There is considerable evidence that evalua…