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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

IEEE International Conference on Robotics and Automation (ICRA), 2022

4 March 2022

Alexandre Alahi

ArXiv (abs)PDF HTML

Papers citing "Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion"

3 / 3 papers shown

Diving Deeper Into Pedestrian Behavior Understanding: Intention
Estimation, Action Prediction, and Event Risk Assessment

Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment

Iuliia Kotseruba

315

2

0

29 Jun 2024

Progressive Alignment with VLM-LLM Feature to Augment Defect
Classification for the ASE Dataset

Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset

Chih-Chung Hsu

Chia-Ming Lee

194

0

0

08 Apr 2024

Behavioral Intention Prediction in Driving Scenes: A Survey

Behavioral Intention Prediction in Driving Scenes: A Survey

Jianwu Fang

Jianru Xue

535

89

0

01 Nov 2022

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