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Gothenburg, Sweden

Zenseact Ab

USPTO Granted Patents = 42

EPO Patents = 41

Trademarks = 5

Forward Citations = 3

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64 inventors (with patents filed for the assignee):

Magnus Gyllenhammar (15 out of 21 patents)

Majid Khorsand Vakilzadeh (11 out of 17 patents)

Carl Zandén (9 out of 12 patents)

4. Junsheng Fu (5 out of 8 patents)

5. Willem Verbeke (4 out of 4 patents)

6. Mattias Brännström (3 out of 10 patents)

7. Adam Tonderski (3 out of 3 patents)

8. Mina Alibeigi (3 out of 3 patents)

9. Axel Beauvisage (3 out of 4 patents)

10. Zhennan Fei (3 out of 6 patents)

11. Claes Olsson (2 out of 11 patents)

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

13. Thomas Luvö (2 out of 2 patents)

14. Gabriel Rodrigues De Campos (2 out of 2 patents)

15. Olle MÅNSSON (2 out of 2 patents)

42 patents: Sort by Forward Citations

1. 12731407 - Method and system for in-vehicle self-supervised training of perception functions for an automated driving system (2026-09-08),

2. 12728889 - Method and device for determining free-space (2026-09-08),

3. 12703358 - Methods and systems for controlling a vehicle having a lane support system (2026-08-11),

4. 12691911 - Precautionary planning of minimal risk maneuvers (2026-07-28),

5. 12686404 - Method for managing a user demand-based operational design domain expansion for an automated driving system of a vehicle (2026-07-21),

6. 12679417 - Assessment of a vehicle control system (2026-07-14),

7. 12668247 - Model-based road estimation (2026-06-30),

8. 12664793 - Method for generating synthetic traffic sign data (2026-06-23),

9. 12637114 - Dynamic risk adaptation in a vehicle (2026-05-26),

10. 12630189 - Methods and apparatuses for closed-loop evaluation for autonomous vehicles (2026-05-19),

11. 12602931 - Identification of unknown traffic objects (2026-04-14),

12. 12586382 - Method and system for in-vehicle self-supervised training of perception functions for an automated driving system (2026-03-24),

13. 12586069 - Methods, network node, storage arrangement and storage system (2026-03-24),

14. 12570283 - Lane keeping based on lane position unawareness (2026-03-10),

15. 12522245 - Computer-implemented method for managing an operational design domain's expansion for an automated driving system (2026-01-13),

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.

Company Badge

USPTO Data Jan 1 1976 - Sep 15 2026

42 Patents

#25 in Gothenburg

#167 in Sweden

#16,304 in the World

Gothenburg, Sweden

Zenseact Ab

Forward Citations = 3

64 inventors:

Magnus Gyllenhammar (15 out of 21 patents)

Majid Khorsand Vakilzadeh (11 out of 17 patents)

Carl Zandén (9 out of 12 patents)

4. Junsheng Fu (5 out of 8 patents)

5. Willem Verbeke (4 out of 4 patents)

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