Years Active: 2024
Title: David Wehr: Innovator in LiDAR Perception Technology
Introduction
David Wehr is a prominent inventor based in Santa Clara, CA, known for his contributions to the field of deep neural networks and their applications in autonomous vehicle technology. With a focus on enhancing perception systems, Wehr has developed innovative solutions that leverage advanced algorithms to interpret complex sensor data.
Latest Patents
One of Wehr's notable patents is titled "Multi-view deep neural network for LiDAR perception." This patent describes a deep neural network (DNN) designed to detect objects from sensor data within a three-dimensional (3D) environment. The multi-view perception DNN consists of multiple constituent DNNs or stages that sequentially process different views of the 3D environment. The first stage performs class segmentation in a perspective view, while the second stage handles class segmentation and regresses instance geometry in a top-down view. The outputs from the DNN can be utilized to generate 2D and/or 3D bounding boxes and class labels for detected objects, facilitating the safe planning and control of autonomous vehicles.
Career Highlights
Throughout his career, David Wehr has demonstrated a commitment to advancing technology in the realm of autonomous systems. His work has significantly contributed to the development of perception algorithms that enhance the capabilities of self-driving vehicles. With a patent portfolio that includes 1 patent, Wehr continues to push the boundaries of innovation in this critical field.
Collaborations
Wehr has collaborated with talented individuals such as Nikolai Smolyanskiy and Ryan Oldja, who have contributed to the development and refinement of his groundbreaking technologies. These collaborations have played a vital role in the successful implementation of his inventions.
Conclusion
David Wehr's innovative work in the field of LiDAR perception technology exemplifies the potential of deep neural networks in transforming autonomous vehicle systems. His contributions are paving the way for safer and more efficient transportation solutions.