Nvidia patents method to make self-driving path predictions harder to fool
Nvidia describes a way to train computer systems that predict how objects will move in the future. The method creates fake, tricky data during training to help the system ignore small changes that might otherwise confuse it.
In the filing’s own words
In various examples, robust trajectory predictions against adversarial attacks in autonomous machines and applications are described herein. Systems and methods are disclosed that perform adversarial training for trajectory predictions determined using a neural network(s). In order to improve the training, the systems and methods may devise a deterministic attack that creates a deterministic gradient path within a probabilistic model to generate adversarial samples for training. Additionally, the systems and methods may introduce a hybrid objective that interleaves the adversarial training and learning from clean data to anchor the output from the neural network(s) on stable, clean data distribution. Furthermore, the systems and methods may use a domain-specific data augmentation technique that generates diverse, realistic, and dynamically-feasible samples for additional training of the neural network(s).
What exactly they claim (claim 1)
1. A method comprising: receiving input data representing one or more points associated with a past trajectory of an object through an environment; receiving ground truth data associated with the input data, the ground truth data representing a future trajectory of the object through the environment; generating, using a deterministic attack that creates a deterministic gradient path within a probabilistic generative model, training data representing an adversarial trajectory of the object, the deterministic gradient path guiding an obfuscation of at least a point of the one or more points associated with the past trajectory; and training, based at least on the input data, the training data, and the ground truth data, one or more neural networks comprising the probabilistic generative model for determining future trajectories.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- Robust trajectory predictions against adversarial attacks in autonomous machines and applications
- Patent number
- US12737438B2
- Application number
- 18180476
- Filed
- Mar 8, 2023
- Granted
- Sep 15, 2026
- Inventors
- 6
- Claims
- 20
Classified under
G06F 21/14 Physics & computingB60W 60/0011 Operations & transportG06N 3/094 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.