Tommi Koivisto

Title: Innovations by Tommi Koivisto in Autonomous Machine Applications

Introduction

Tommi Koivisto is a prominent inventor based in Helsinki, Finland. He has made significant contributions to the field of autonomous machine applications, holding a total of 12 patents. His work focuses on enhancing the capabilities of machines to detect obstacles and objects, which is crucial for the advancement of autonomous technologies.

Latest Patents

One of his latest patents involves a method for distance to obstacle detection in autonomous machine applications. In this innovation, a deep neural network (DNN) is trained to accurately predict distances to objects and obstacles using image data alone. The DNN is trained with ground truth data generated from various depth-predicting sensors, including RADAR, LIDAR, and SONAR. Additionally, camera adaptation algorithms are employed to ensure the DNN can work with images from cameras with different parameters. A post-processing safety bounds operation is also included to ensure predictions remain within a safety-permissible range.

Another notable patent focuses on object detection and detection confidence suitable for autonomous driving. This invention determines detected object data representative of locations of objects within a field of view. Clusters of detected objects are generated based on their locations and features, which serve as inputs to machine learning models. A confidence score is computed by these models, representing the probability that the cluster corresponds to an object depicted in the field of view. This patent also provides methods for determining ground truth data for training object detectors.

Career Highlights

Tommi Koivisto is currently employed at Nvidia Corporation, where he continues to innovate in the field of autonomous technologies. His work has been instrumental in advancing the capabilities of machines to operate safely and efficiently in complex environments.

Collaborations

Tommi collaborates with talented individuals such as Pekka Janis and Yilin Yang, contributing to a dynamic team focused on pushing the boundaries of technology in autonomous systems.

Conclusion

Tommi Koivisto's contributions to the field of autonomous machine applications are noteworthy, with his innovative patents paving the way for safer and more efficient technologies. His work exemplifies the importance of advancements in object detection and distance measurement for the future of autonomous systems.