2 papers
cs.CV2024
Introducing a Class-Aware Metric for Monocular Depth Estimation: An Automotive Perspective
Tim Bader, Leon Eisemann, Adrian Pogorzelski +2
The increasing accuracy reports of metric monocular depth estimation models lead to a growing interest from the automotive domain. Current model evaluations do not provide deeper i…
cs.RO2024
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds
Leon Eisemann, Johannes Maucher
High-resolution road representations are a key factor for the success of (highly) automated driving functions. These representations, for example, high-definition (HD) maps, contai…