Nov 1, 2022 · In this paper, we propose a motion embedding pipeline (MEP) architecture that utilizes interpretable optical flow and deep learning to solve ...

Jul 20, 2024 · The MEP is a three-stage pipeline that consists of an object detector, a novel feature extraction algorithm to capture relative motion between ...

Accurate motion object detection (MOD) using in-vehicle cameras in driving vehicles is a challenging task. Several deep learning based motion segmentation ...

Intelligent vehicle systems (IVS) provide real-time as- sistance to drivers by monitoring surrounding environment and states using artificial intelligent ...

This paper proposes a novel voting based detection algorithm using deep learning networks implemented using in-vehicle cameras to achieve illegal parking ...

Nov 20, 2023 · Motion interaction between multiple vehicles in ITS makes it important to perform multi-object tracking (MOT). However, most existing MOT ...

Jul 11, 2021 · The most common way is to predict moving points using geometric constraints and then perform clustering to obtain moving objects [2]. Using deep ...

Motion Embedding for On-road Motion Object Detection for Intelligent Vehicle Systems · Computer Science, Engineering. 2022 IEEE 25th International Conference on…

This study proposes improving the vehicle classification accuracy of Yolo, and developing a novel bounding box (Bbox)-based vehicle tracking algorithm.

We propose AM-Vehicle-Track, a simple and effective multi-object tracker, to address the tracking problem of vehicles in complex traffic road scenes. We design ...