Raquel Urtasun

This inventor holds 111 USPTO granted patents and 54 published patent applications, primarily in Autonomous Vehicle Technology (CPC class G06N20-00). Top assignees: Uatc, LLC, Aurora Operations, Inc., Waabi Canada Inc.. Active years: 2016-2026.

USPTO Granted Patents = 111 (Patent Applications = 54)

% Patents Active = 99.1

Average Co-Inventor Count = 4.3

ph-index = 8

Forward Citations = 346(Granted Patents)

Forward Citations (Not Self Cited) = 261(Dec 10, 2025)

Inventors with similar research interests:

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Location History:

Ontario, CA (2016 - 2021)
Toronto, CA (2020 - 2024)

Company Filing History:

Aurora Operations, Inc.

Mitsubishi Electric Research Laboratories, Inc.

patents

5. 1 out of 1

Waabi Innovation Inc.

patent

Years Active: 2016-2026

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Areas of Expertise:

Motion Planning

Object Detection

Autonomous Systems

Machine Learning

Three-Dimensional Data

Trajectory Learning

Sensor Data Processing

Semantic Segmentation

Localization

Multi-Sensor Fusion

Object Intention

Data Simulation

111 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12726799 - Systems and methods for mitigating vehicle pose error across an aggregated feature map (2026-09-01),

2. 12725349 - Deferred neural lighting in augmented image generation (2026-09-01),

3. 12722662 - Mixed reality simulation for autonomous systems (2026-09-01),

4. 12643575 - Automatic annotation of object trajectories in multiple dimensions (2026-06-02),

5. 12637112 - Systems and methods for generating synthetic motion predictions (2026-05-26),

6. 12626589 - Systems and methods for simulating traffic scenes (2026-05-12),

7. 12625495 - Jointly learnable behavior and trajectory planning for autonomous vehicles (2026-05-12),

8. 12594958 - Motion planning with implicit occupancy for autonomous systems (2026-04-07),

9. 12586299 - Real world object reconstruction and representation (2026-03-24),

10. 12570329 - Systems and methods for actor motion forecasting within a surrounding environment of an autonomous vehicle (2026-03-10),

11. 12517252 - Three-dimensional object detection (2026-01-06),

12. 12472973 - System and method for determining object intention through visual attributes (2025-11-18),

13. 12450768 - End-to-end tracking of objects (2025-10-21),

14. 12450476 - Compression of machine-learned models by vector quantization (2025-10-21),

15. 12430534 - Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same (2025-09-30),

Title: The Innovative Contributions of Raquel Urtasun in Autonomous Vehicle Technology

Introduction: Raquel Urtasun, located in Toronto, Canada, is a prominent inventor in the field of autonomous vehicles, holding an impressive total of 86 patents. Her work focuses on enhancing motion planning and real-time travel way feature identification, showcasing her commitment to advancing automotive technology.

Latest Patents: Urtasun's latest innovations include patents for systems and methods for using attention masks to improve motion planning. This invention allows computing systems to access sensor and map data for an area around an autonomous vehicle, generating a voxel grid representation and an attention mask. Through a machine-learned model, an attention-weighted feature map is created which aids in determining a planning cost volume and selecting a trajectory for the vehicle.

Additionally, she has developed systems and methods for identifying travel way features for autonomous vehicle motion control. This approach involves receiving two-dimensional and three-dimensional environmental data, which is processed through a machine-learned segmentation model to generate enhanced three-dimensional segmentations. These segmentations help identify crucial travel way features for improved vehicle navigation.

Career Highlights: Throughout her career, Raquel Urtasun has made significant contributions to the automotive industry. She has worked with companies such as UATC, LLC and Aurora Operations, Inc., where her knowledge and innovative thinking have paved the way for advancements in autonomous vehicle technology.

Collaborations: Urtasun has collaborated with notable colleagues, including Shenlong Wang and Ming Liang. Their combined expertise in the field continues to drive innovation and development in autonomous systems.

Conclusion: Raquel Urtasun's remarkable achievements and patents have solidified her status as a leading inventor in autonomous vehicle technology. Her groundbreaking work not only enhances the capabilities of autonomous systems but also sets a foundation for future innovations in the field.