Context Model for Pedestrian Intention Prediction using Factored
Latent-Dynamic Conditional Random Fields

v1v2v3v4 (latest)

Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields

27 July 2019

Hang Yu

ArXiv (abs)PDF HTML

Papers citing "Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields"

8 / 8 papers shown

Title
Event-Based Crossing Dataset (EBCD) Joey Mulé Dhandeep Challagundla Rachit Saini Riadul Islam 55 0 0 21 Mar 2025
Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach Vaishnavi Khindkar V. Balasubramanian Chetan Arora A. Subramanian C. V. Jawahar 116 0 0 20 Nov 2024
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving Jie Bai Jianwu Fang Yisheng Lv Chen Lv Jianru Xue Zhengguo Li 69 0 0 24 Aug 2024
PIP-Net: Pedestrian Intention Prediction in the Wild Mohsen Azarmi Mahdi Rezaei He Wang 55 8 0 20 Feb 2024
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction Mohsen Azarmi Mahdi Rezaei Tanveer Hussain Chenghao Qian 88 8 0 01 May 2023
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 171 50 0 01 Nov 2022
A Real-Time Predictive Pedestrian Collision Warning Service for Cooperative Intelligent Transportation Systems Using 3D Pose Estimation Ue-Hwan Kim Dongho Ka H. Yeo Jong-hwan Kim 88 3 0 23 Sep 2020
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling S. Neogi Justin Dauwels BDL 20 9 0 09 Nov 2019