VEOS - Vizta

Profile & expertise

Veoneer is the world’s largest pure-play company focused on Advanced Driving Assistance Systems (ADAS) and Automated Driving (AD). Veoneer have 7,900 people in 13 countries worldwide, working on automotive sensing and decision making using radar, vision, LiDAR, night vision, electronic controls, and human-machine interface, aiming for the demands of mass production and real-world use. The Company has 9 manufacturing sites and 17 technical centers with 2700 associates in engineering, of which 65% in software. The company currently serves 22 OEMs. The annual update for 2018 stated a turn-over of $2.2 Bn and a $5.9 Bn lifetime order value on the acquired order intake.

Role in the Project

Veoneer develops and manufactures automotive electronic safety systems for several major automotive manufacturers in the world. The key role of Veoneer in the project is to make sure that the technology developed will be fit for automotive use and enable widespread uptake on the market. Veoneer exploitation goals are to commercialize automotive ambient sensing system that include cost efficient, imaging sensors and radars which has sufficient discriminating power to also handle higher atmospheric attenuation, such as in adverse weather. The intense push towards automated driving means that additional sensors with 3D capabilities are needed with reasonable orthogonal characteristics to provide redundancy and address areas where current radars and cameras are insufficient. Veoneer acts as work package leader for the development of a 3D sensing time-of-flight sensors with mid- and long-range capability.

MAIN CONTACT

Jan-Erik Källhammer, Ph.D.

Director Visual Enhancement & Cognitive Systems

jan-erik.kallhammer@veoneer.com

+46 (0)7 08 32 09 34

http://www.veoneer.com/.

Vårgårda, Sweden

Dr Jan-Erik Källhammer has 19 years’ experience with automotive active safety development. His focus is on visual enhancement in darkness (night vision) and inclement weather using vision, LiDAR, radar, and gated imaging. Complement with decision algorithm requirements for predicting warning acceptance by the driver in relevant use cases like pedestrian encounters. Main tasks consist of functional specifications, coordination with technology provider, suppliers, and customer contacts. Participated in several leading-edge EU projects in automotive ICT technology, including role of technical coordinator, work package- and task-leaders.

He received his Ph.D. in Cognitive Systems, with focus on automotive active safety, from the Department of Information and Computer Science at Linköping University, Sweden, in 2011, his M.Sc. in Electrical Engineering from Duke University, Durham, NC, U.S.A. and his M.Sc. in Mechanical Engineering from Luleå Technical University, Sweden. He has 25 published papers and book chapters, and 9 granted patent families.