activity
20192021
most citedProbabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

99 citations · 115 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2021★ 6 cited

Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture

Stuart Eiffert, Nathan D. Wallace, He Kong +2

For mobile robots to be effectively applied to real world unstructured environments -- such as large scale farming -- they require the ability to generate adaptive plans that accou…

cs.RO2021

Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries

Stuart Eiffert, Alexander Wendel, Peter Colborne-Veel +3

The majority of fatalities and traumatic injuries in heavy industries involve mobile plant and vehicles, often resulting from a lapse of attention or communication. Existing approa…

cs.RO2021

Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture

Stuart Eiffert, Nathan D. Wallace, He Kong +2

Achieving long-term autonomy for mobile robots operating in real-world unstructured environments such as farms remains a significant challenge. This is made increasingly complex in…

cs.CV2020

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

Kunming Li, Stuart Eiffert, Mao Shan +3

Autonomous vehicle navigation in shared pedestrian environments requires the ability to predict future crowd motion both accurately and with minimal delay. Understanding the uncert…

cs.CV2020★ 99 cited

Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

Stuart Eiffert, Kunming Li, Mao Shan +3

Understanding and predicting the intention of pedestrians is essential to enable autonomous vehicles and mobile robots to navigate crowds. This problem becomes increasingly complex…

cs.RO2020

A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming

Stuart Eiffert, Nathan D. Wallace, He Kong +2

Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the…