Mar 1, 2023 · This study develops an intelligent multimodal pedestrian detection and classification using hybrid metaheuristic optimization with deep learning (IPDC-HMODL) algorithm.

Jul 1, 2023 · Develop an automated pedestrian detection in crowded scenes using the MMPD-MDCNN technique. Study multimodal ensemble learning process for pedestrian detection. For …

May 31, 2024 · In this experiment, the proposed multi-modal pedestrian detection algorithm based on YOLOv4 using the channel stack fusion module is called Double-YOLOv4-CSE, and the …

Sep 1, 2024 · This paper, we present pedestrian detection (PD) using a Robust Multi-modal Pedestrian Detection using a Deep Convolutional Neural Network with an Ensemble Learning …

Jul 14, 2024 · The proposed approach comprises a unified encoder for modal representation and fusion and a general head for pedestrian detection. We introduce two extra learnable tokens, …

Popularly, CNNs are used in image and video processing, Natural Language Processing (NLP) [38], and recommendation algorithms. Four critical ideas behind CNNs take advantage of the …

Nov 15, 2023 · A novel transformer–fusion-based YOLO (TF-YOLO) is introduced to effectively fuse the visible and infrared images for multimodal pedestrian detection, enabling precise …

With the input of multi-modal data, including bird view map, depth and corpus information, the three problems ”Where”, ”What” and ”Whether” target at pedestrian local-ization, scale …

Multimodal fusion algorithms have gained widespread attention in pedestrian detection tasks in recent years, by combining information from different modalities (such as infrared and visible …

May 31, 2024 · In this context, infrared light mode imaging emerges as a valuable supplement, bolstering pedestrian information provision. This paper delves into pedestrian detection and …