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How to shape a successful team
In this episode, Veronika and Cristofer Eckermalm, head of talent acquisition, talk about Zenseact’s need for diverse talents to realize Zenseact’s mission: achieving autonomous driving.
In this episode, Veronika and Cristofer Eckermalm, head of talent acquisition, talk about Zenseact’s need for diverse talents to realize Zenseact’s mission: achieving autonomous driving.
Gothenburg, 16 November. Software powerhouse Zenseact, specializing in AI-based safety for autonomous driving and advanced driver assistance systems, announces the expansion of its deep-learning team. Rooted in the vibrant, tech-savvy
Developing safe automation that can help drivers in virtually any situation is a pretty hard task. Jonas Ekmark will happily tell you just how hard.
Watch AI researcher Mina Alibeigi explain how her team gathered an unmatched collection of European traffic data and decided to share it with the world. See more at zod.zenseact.com
Zenseact advances AD technology by providing industry peers and researchers with impressively robust, anonymized traffic data from diverse environments with unparalleled sensor range and resolution. Gothenburg, 6 October, 2023. Data
AD technology is manifested in robotaxis, passenger cars, and heavy goods vehicles. But they all follow distinct development pathways and face unique motivations and challenges. So far, robotaxis have shown
Zenseact is on a mission to develop world-leading safety software for autonomous driving, and we take pride in offering an open-minded and socially conscious workplace. But why is diversity, inclusion,
Listen to Fredrik and Veronika discuss the paramount concern of AD: safety. What does safe enough actually mean? And what safety assurances can we make?
Right now, we focus on reducing fatalities and serious injuries. But as technology progresses, automation will become so safe virtually any collision can be avoided. We’ll raise an extra glass
In this episode, Veronika talks to Benny Nilsson, Head of Emerging Technologies, about finding partners and the role of edge learning and vehicle-to-vehicle communication.
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