Philip Lenz
Also known as P Lenz, P. Lenz
Philip Lenz is a computer-vision researcher who co-developed KITTI, a benchmark suite for autonomous-driving perception. At Karlsruhe Institute of Technology, he studied stereo vision and vehicle perception, then coauthored the KITTI benchmark and FollowMe, an online tracker with bounded memory and computation. He completed a min-cost-flow tracking dissertation in 2015 and worked as a research scientist at Bosch Corporate Research from 2012 to 2025 on computer vision and machine learning for automated driving. The KITTI team received the 2021 PAMI Mark Everingham Prize, and Lenz shared the 2022 Longuet-Higgins Prize with Andreas Geiger and Raquel Urtasun. A Bosch patent granted in 2025 named him as a co-inventor of a neural-network method for predicting a vehicle's ego lane.
Timeline
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2010–2011
Vehicle perception research
His 2010 doctoral-forum work studies stereo vision and color-image evaluation for scene segmentation and traffic-participant detection. He coauthors a 2011 paper on scene-flow segmentation for moving-object detection in urban environments.
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2012–2013
The KITTI benchmark suite
He and Andreas Geiger and Raquel Urtasun put the KITTI Vision Benchmark Suite online in 2012, beginning with stereo, flow and odometry benchmarks. They publish “Vision meets Robotics: The KITTI Dataset” in the International Journal of Robotics Research in 2013.
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2015
FollowMe for online tracking
In 2015, he and Andreas Geiger and Raquel Urtasun publish FollowMe, an online multi-target tracking method with bounded memory and computation. His KIT dissertation explores faster min-cost-flow tracking for real-time computer-vision applications.
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2021
The PAMI Mark Everingham Prize
The KITTI Vision Benchmark team receives the 2021 PAMI Mark Everingham Prize for developing and maintaining the benchmark. ICCV lists Philip Lenz among the award-winning team.
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2022
A Longuet-Higgins Prize
He shares the 2022 Longuet-Higgins Prize with Andreas Geiger and Raquel Urtasun for their KITTI paper “Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite.”
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2025
Research scientist at Bosch
From 2012 to 2025, he works as a research scientist at Bosch Corporate Research on computer vision and machine learning for automated driving. A Bosch patent issued in 2025 names him as a co-inventor of a neural-network method for predicting a vehicle's ego lane.
Sources and credits
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