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For the Inventor, By the Inventor

Zenseact Ab


USPTO Granted Patents = 28


Trademarks = 5

Forward Citations = 1

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42 inventors (with patents filed for the assignee):

goldMedal Magnus Gyllenhammar (10 out of 14 patents)

silverMedal Majid Khorsand Vakilzadeh (9 out of 13 patents)

bronzeMedal Carl Zandén (7 out of 8 patents)

4.  Junsheng Fu (4 out of 7 patents)

5.  Mina Alibeigi (3 out of 3 patents)

6.  Axel Beauvisage (3 out of 4 patents)

7.  Mattias Brännström (2 out of 9 patents)

8.  Joakim Lin Sörstedt (2 out of 4 patents)

9.  Thomas Luvö (2 out of 2 patents)

10.  Zhennan Fei (2 out of 5 patents)

11.  David Tingdahl (1 out of 7 patents)

12.  Tony Gustafsson (1 out of 17 patents)

13.  Erik Stenborg (1 out of 5 patents)

14.  Peter Hardå (1 out of 7 patents)

15.  Han Zhang (1 out of 6 patents)


28 patents:

1. 12522245 - Computer-implemented method for managing an operational design domain's expansion for an automated driving system (2026-01-13),
2. 12509123 - Prediction of near-future behavior of road users (2025-12-30),
3. 12509118 - Safety and/or performance monitoring of an automated driving system (2025-12-30),
4. 12488439 - Reconstruction of image frames (2025-12-02),
5. 12472990 - Transitioning to an unsupervised autonomous driving mode of an ADS (2025-11-18),
6. 12447977 - Event buffer storage prioritization (2025-10-21),
7. 12434767 - Method for determining whether an automatic collision avoidance steering maneuver should be executed or not (2025-10-07),
8. 12406477 - Iterative refinement of annotated datasets (2025-09-02),
9. 12403933 - Determining a state of a vehicle on a road (2025-09-02),
10. 12397814 - Training of a perception model on edge of a vehicle (2025-08-26),
11. 12394093 - Method and device for calibrating a camera mounted on a vehicle (2025-08-19),
12. 12347209 - Training of 3D lane detection models for automotive applications (2025-07-01),
13. 12345533 - Estimation of accident intensity for vehicles (2025-07-01),
14. 12344242 - Precautionary vehicle path planning (2025-07-01),
15. 12277783 - Annotation of objects in image frames (2025-04-14),
Zenseact AB is a Swedish company specializing in autonomous driving software. Founded in 2020 as a spin-off from Volvo Cars, Zenseact focuses on developing safety-critical software solutions that aim to enable safe and reliable self-driving vehicles. The company combines advanced technologies such as artificial intelligence, deep learning, and sensor fusion to create intelligent driver assistance systems and autonomous driving features. With a mission to accelerate the development of safe autonomy, Zenseact collaborates with various automotive manufacturers and technology partners to push the boundaries of road safety and reduce accidents. Their innovative approach positions them as a significant player in the autonomous vehicle ecosystem, driving forward the future of transportation.
This text is generated by artificial intelligence and may not be accurate.

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USPTO Data Jan 1 1976 - Jan 13 2026

28 Patents

#14 in

#271 in

#22,604 in the World

Zenseact Ab

Forward Citations = 1

42 inventors:

goldMedal Magnus Gyllenhammar (10 out of 14 patents)

silverMedal Majid Khorsand Vakilzadeh (9 out of 13 patents)

bronzeMedal Carl Zandén (7 out of 8 patents)

4.  Junsheng Fu (4 out of 7 patents)

5.  Mina Alibeigi (3 out of 3 patents)

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