Cover Image

PCICF: A Pedestrian Crossing Identification and Classification Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Junyi, Cabrero-Daniel, Beatriz, Nouri, Ali, Armini, Lydia, Berger, Christian
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks
by: Dona, Malsha Ashani Mahawatta, et al.
Published: (2024)

Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View
by: Dona, Malsha Ashani Mahawatta, et al.
Published: (2024)

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
by: Dona, Malsha Ashani Mahawatta, et al.
Published: (2024)

CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction
by: Chib, Pranav Singh, et al.
Published: (2024)

Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
by: Su, Yue, et al.
Published: (2024)

BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems
by: Dona, Malsha Ashani Mahawatta, et al.
Published: (2025)

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection
by: Kim, Taeheon, et al.
Published: (2024)

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction
by: Zhang, Chi, et al.
Published: (2022)

Ambiguous Annotations: When is a Pedestrian not a Pedestrian?
by: Schwirten, Luisa, et al.
Published: (2024)

Image Classification for Snow Detection to Improve Pedestrian Safety
by: de Deijn, Ricardo, et al.
Published: (2024)

ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction
by: Li, Yuanzhe, et al.
Published: (2025)

Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
by: Bouraffa, Tayssir, et al.
Published: (2024)

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving
by: Li, Jialin, et al.
Published: (2025)

EPAN: Robust Pedestrian Re-Identification via Enhanced Alignment Network for IoT Surveillance
by: Jia, Zhiyang, et al.
Published: (2025)

Discriminative Pedestrian Features and Gated Channel Attention for Clothes-Changing Person Re-Identification
by: Ding, Yongkang, et al.
Published: (2024)

Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach
by: Khindkar, Vaishnavi, et al.
Published: (2024)

Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors
by: Weihmayr, Daniel, et al.
Published: (2024)

Beyond Pedestrians: Caption-Guided CLIP Framework for High-Difficulty Video-based Person Re-Identification
by: Hamano, Shogo, et al.
Published: (2026)

GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction
by: Xie, Chen, et al.
Published: (2024)

Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank
by: Park, Sungjune, et al.
Published: (2024)

A Sobel-Gradient MLP Baseline for Handwritten Character Recognition
by: Nouri, Azam
Published: (2025)

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
by: Günder, Maurice, et al.
Published: (2023)

Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-Driven Approach for Cross-modal Alignment Fusion
by: Kim, Taeheon, et al.
Published: (2024)

MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection
by: Gao, Xiangbo, et al.
Published: (2024)

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
by: Zhang, Chi, et al.
Published: (2021)

Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion
by: Ashayer, Sima, et al.
Published: (2026)

A Pedestrian-Vehicle Interaction Benchmark and Annotation Framework for Unstructured Scenes via Uncalibrated Cameras
by: Peng, Haoyang, et al.
Published: (2026)

Hyperspectral vs. RGB for Pedestrian Segmentation in Urban Driving Scenes: A Comparative Study
by: Li, Jiarong, et al.
Published: (2025)

MonoPIC -- A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision Trees
by: Radhakrishna, Sriram, et al.
Published: (2023)

Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting
by: Damirchi, Haleh, et al.
Published: (2024)

CNN-Based Framework for Pedestrian Age and Gender Classification Using Far-View Surveillance in Mixed-Traffic Intersections
by: Arif, Shisir Shahriar, et al.
Published: (2025)

Significance-Gain Pair Encoding for LLMs: A Statistical Alternative to Frequency-Based Subword Merging
by: Nouri, Azam
Published: (2026)

An MLP Baseline for Handwriting Recognition Using Planar Curvature and Gradient Orientation
by: Nouri, Azam
Published: (2025)

Pedestrian Crossing Intention Prediction Using Multimodal Fusion Network
by: Li, Yuanzhe, et al.
Published: (2025)

Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction
by: Liang, Hongbin, et al.
Published: (2025)

UniPAR: A Unified Framework for Pedestrian Attribute Recognition
by: Xu, Minghe, et al.
Published: (2026)

FitPro: A Zero-Shot Framework for Interactive Text-based Pedestrian Retrieval in Open World
by: Luo, Zengli, et al.
Published: (2025)

MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
by: Kim, Taeheon, et al.
Published: (2024)

Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology
by: Ly, Ngoc Q., et al.
Published: (2025)

A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification
by: Gong, Yunpeng, et al.
Published: (2025)