The integrated inertial system, typically integrating an IMU and an exteroceptive sensor such
as radar, LiDAR, and camera, has been widely accepted and applied in modern robotic …

Accurately calibrate the extrinsic parameters between a camera and an Inertial
Measurement Unit (IMU) is a prerequisite for achieving sensor data fusion in visual-inertial …

Recently, multi-sensors fusion has achieved significant progress in the field of automobility
to improve navigation and position performance. As the prerequisite of the fusion algorithm …

Over the last decade, the automotive industry has introduced advanced driving assistance
systems (ADAS) and automated driving (AD) features into roads to reduce fatality rates. One …

The precise calibration of all sensor modalities is crucial for multi-modal sensor fusion in
robotics, which is used for 3D pose estimation (odometry). To achieve optimal calibration …

High-accurate machine learning (ML) image classifiers cannot guarantee that they will not
fail at operation. Thus, their deployment in safety-critical applications such as autonomous …

Les classificateurs d'images à apprentissage machine (ML) très précis ne peuvent pas
garantir qu'ils ne tomberont pas en panne en cours de fonctionnement. Par conséquent, leur …