354 citations · 582 across the 39 of their papers we have counts for
11 papers · 1 filter
DA-LMR: A Robust Lane Marking Representation for Data Association
Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu +1
While complete localization approaches are widely studied in the literature, their data association and data representation subprocesses usually go unnoticed. However, both are a k…
Roadmap on Signal Processing for Next Generation Measurement Systems
D. K. Iakovidis, M. Ooi, Y. C. Kuang +31
Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, image…
Modeling dynamic target deformation in camera calibration
Annika Hagemann, Moritz Knorr, Christoph Stiller
Most approaches to camera calibration rely on calibration targets of well-known geometry. During data acquisition, calibration target and camera system are typically moved w.r.t. e…
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Lukas Stäcker, Juncong Fei, Philipp Heidenreich +4
Deep neural networks have proven increasingly important for automotive scene understanding with new algorithms offering constant improvements of the detection performance. However,…
Inferring bias and uncertainty in camera calibration
Annika Hagemann, Moritz Knorr, Holger Janssen +1
Accurate camera calibration is a precondition for many computer vision applications. Calibration errors, such as wrong model assumptions or imprecise parameter estimation, can dete…
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Danial Kamran, Tizian Engelgeh, Marvin Busch +2
Despite recent advances in reinforcement learning (RL), its application in safety critical domains like autonomous vehicles is still challenging. Although punishing RL agents for r…