Abstract: In one embodiment, a self-aware self-evolved self-contained localization map system for an autonomous driving vehicle (ADV) is disclosed. The localization map system collects ADV localization data and real-time poses for analysis in view of a first localization map of the ADV. The analysis determines confidence scores based on rankings of similarities scores of candidate poses, consistency of the real-time pose, and spatial or temporal completeness of a map feature space surrounding the ADV. The subset of the collected localization data is aligned with the first localization map based on a highest ranked candidate pose and is applied onto the first localization map based on the determined confidence scores to generate a second localization map to subsequently determine a location of the ADV.

Abstract: In one embodiment, a self-aware self-evolved self-contained localization map system for an autonomous driving vehicle (ADV) is disclosed. The localization map system collects ADV localization data and real-time poses for analysis in view of a first localization map of the ADV. The analysis determines confidence scores based on rankings of similarities scores of candidate poses, consistency of the real-time pose, and spatial or temporal completeness of a map feature space surrounding the ADV. The subset of the collected localization data is aligned with the first localization map based on a highest ranked candidate pose and is applied onto the first localization map based on the determined confidence scores to generate a second localization map to subsequently determine a location of the ADV.

Abstract: Embodiments of the disclosure comprise a vision-based robotic manipulation system that identifies, singulates, and removes an individual surgical instrument from a cluttered environment. A computer-vision algorithm incorporated with the system is robust against optical challenges such as changing light conditions, specularities, and inter-reflections among various surgical instruments. The system estimates 2D pose (as opposed to a more challenging 3D pose) using a camera with normal room lighting to identify each object, including its specified data matrix barcode; and incorporates the use of a robotic arm with a compliant electromagnetic gripper to handle objects having large shape variance. The system can then relocate the objects as desired. The robot manipulator is utilized in hospital and research settings, manufacturing, and sterile environments.

Abstract: Embodiments of the disclosure comprise a vision-based robotic manipulation system that identifies, singulates, and removes an individual surgical instrument from a cluttered environment. A computer-vision algorithm incorporated with the system is robust against optical challenges such as changing light conditions, specularities, and inter-reflections among various surgical instruments. The system estimates 2D pose (as opposed to a more challenging 3D pose) using a camera with normal room lighting to identify each object, including its specified data matrix barcode; and incorporates the use of a robotic arm with a compliant electromagnetic gripper to handle objects having large shape variance. The system can then relocate the objects as desired. The robot manipulator is utilized in hospital and research settings, manufacturing, and sterile environments.