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Found 5 papers, 3 papers with code
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
To tackle this challenge, we propose Hierarchical Vector Transformer (HiVT) for fast and accurate multi-agent motion prediction.
Ranked #24 on
Motion Forecasting
on Argoverse CVPR 2020
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
In our study, we use real data sets and the state-of-the-art machine learning model to evaluate our attack detection scheme and the results confirm the effectiveness of our detection method.
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles
In this paper, we investigate the impact of two primary types of adversarial attacks, perturbation attacks and patch attacks, on the driving safety of vision-based autonomous vehicles rather than the detection precision of deep learning models.
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
Mobile ad hoc computing (MAHC), which allows mobile devices to directly share their computing resources, is a promising solution to address the growing demands for computing resources required by mobile devices.
On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems
In recent years, coded distributed computing (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against unexpected latencies in distributed computing systems.
Distributed, Parallel, and Cluster Computing
