⇐ Datasets Introduction KITTI is a popular computer vision dataset designed for autonomous driving research. It contains a diverse set of challenges for researchers, including object detection, tracking, and scene understanding. The dataset is derived from the autonomous driving platform developed by the Karlsruhe Institute of Technology and the Toyota Technological Institute at Chicago. The KITTI dataset includes a collection of different sensors and modalities, such as stereo cameras, LiDAR, and GPS/INS sensors, which provides a comprehensive view of the environment around the vehicle....

Dataset Introduction OxIOD Dataset Oxford Inertial Odometry Dataset [1] is a large set of inertial data for inertial odometry which is recorded by smartphones at 100 Hz in indoor environment. The suite consists of 158 tests and covers a distance of over 42 km, with OMC ground track available for 132 tests. Therefore, it does not include pure rotational movements and pure translational movements, which are helpful for systematically evaluating the model’s performance under different conditions; however, it covers a wide range of everyday movements....

Dataset Introduction RoNIN The RoNIN dataset [1] contains over 40 hours of IMU sensor data from 100 human subjects with 3D ground-truth trajectories under natural human movements. This data set provides measurements of the accelerometer, gyroscope, magnetometer, and ground track, including direction and location in 327 sequences and at a frequency of 200 Hz. A two-device data collection protocol was developed. A harness was used to attach one phone to the body for 3D tracking, allowing subjects to control the other phone to collect IMU data freely....

Introduction IMU Datasets are used to evaluate the performance of the attitude estimation algorithms. In this post, we will present some of the most popular IMU Datasets. The datasets are divided into two categories: synthetic and real-world. The synthetic datasets are generated by simulating the IMU measurements. The real-world datasets are collected from the real-world experiments. The real-world experiments are divided into two categories: indoor and outdoor. The indoor experiments are conducted in a controlled environment, e....