Stuart Eiffert

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 16

Top Topics

Autonomous Vehicles

Motion Prediction

Obstacle Avoidance

Top Venues

IEEE Robotics Autom. Lett.

Comput. Electron. Agric.

Publications

Kunming Li, Mao Shan, Stuart Eiffert, Stewart Worrall, Eduardo M. Nebot
Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. IV (2022)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture. Field Robotics 2 (1) (2022)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture. CoRR (2021)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture. CoRR (2021)
Yongliang Qiao, He Kong, Cameron Clark, Sabrina Lomax, Daobilige Su, Stuart Eiffert, Salah Sukkarieh
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation. Comput. Electron. Agric. 185 (2021)
Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo M. Nebot
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. ICRA (2021)
Stuart Eiffert, Alexander Wendel, Peter Colborne-Veel, Nicholas Leong, John Gardenier, Nathan Kirchner
Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries. CoRR (2021)
Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo M. Nebot
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. CoRR (2020)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming. CoRR (2020)
Stuart Eiffert, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search. ICRA (2020)
Stuart Eiffert, Kunming Li, Mao Shan, Stewart Worrall, Salah Sukkarieh, Eduardo M. Nebot
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network. CoRR (2020)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming. CASE (2020)
Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture. ISER (2020)
Stuart Eiffert, Kunming Li, Mao Shan, Stewart Worrall, Salah Sukkarieh, Eduardo M. Nebot
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction Using a Graph Vehicle-Pedestrian Attention Network. IEEE Robotics Autom. Lett. 5 (4) (2020)
Stuart Eiffert, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search. CoRR (2020)
Stuart Eiffert, Salah Sukkarieh
Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks. CoRR (2019)