MMDVS-LF: ライントレース用マルチモーダル動的視覚センサ・アイトラッキングデータセット
MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following
小型車両によるライントレース時のDVSイベントデータとアイトラッキング、RGB映像、オドメトリ、IMU、運転者属性を統合した初のマルチモーダルデータセットを構築した。
著者: Felix Resch, Mónika Farsang, Radu Grosu
分類: cs.RO
原文アブストラクト
Dynamic Vision Sensors (DVS) offer a unique advantage in control applications due to their high temporal resolution and asynchronous event-based data. Still, their adoption in machine learning algorithms remains limited. To address this gap and promote the development of models that leverage the specific characteristics of DVS data, we introduce the MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following. This comprehensive dataset is the first to integrate multiple sensor modalities, including DVS recordings and eye-tracking data from a small-scale standardized vehicle. Additionally, the dataset includes RGB video, odometry, Inertial Measurement Unit (IMU) data, and demographic data of drivers performing a Line Following. With its diverse range of data, MMDVS-LF opens new opportunities for developing event-based deep learning algorithms just like the MNIST dataset did for Convolutional Neural Networks.
