- Patent Title: Temporal information prediction in autonomous machine applications
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Application No.: US18067176Application Date: 2022-12-16
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Publication No.: US11854401B2Publication Date: 2023-12-26
- Inventor: Yue Wu , Pekka Janis , Xin Tong , Cheng-Chieh Yang , Minwoo Park , David Nister
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Taylor English Duma L.L.P.
- Main IPC: G08G1/16
- IPC: G08G1/16 ; G06V10/82 ; G06V20/58 ; G06V20/10 ; G06F18/214 ; G05D1/00 ; G05D1/02 ; G06N3/04 ; G06T7/20

Abstract:
In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.
Public/Granted literature
- US20230122119A1 TEMPORAL INFORMATION PREDICTION IN AUTONOMOUS MACHINE APPLICATIONS Public/Granted day:2023-04-20
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