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05/03/2023
HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization
High Definition (HD) maps are necessary for many applications of automat...
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02/12/2023
Self-supervised Pseudo-colorizing of Masked Cells
Self-supervised learning, which is strikingly referred to as the dark ma...
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10/17/2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Trajectory data analysis is an essential component for highly automated ...
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07/28/2022
Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
Localization in aerial imagery-based maps offers many advantages, such a...
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04/19/2022
Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
We present a new method to combine evidential top-view grid maps estimat...
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04/16/2022
Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles
We present a generic evidential grid mapping pipeline designed for imagi...
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03/02/2022
Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
We propose a fast and robust method to estimate the ground surface from ...
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03/02/2022
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
In this paper we introduce a novel way to predict semantic information f...
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02/28/2022
Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
The Large-scale 3D reconstruction, texturing and semantic mapping are no...
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02/28/2022
TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis
In this paper, we present TEScalib, a novel extrinsic self-calibration a...
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11/17/2021
DA-LMR: A Robust Lane Markings Representation for Data Association Methods
While complete localization approaches are widely studied in the literat...
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10/14/2021
Modeling dynamic target deformation in camera calibration
Most approaches to camera calibration rely on calibration targets of wel...
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08/18/2021
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Deep neural networks have proven increasingly important for automotive s...
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07/28/2021
Inferring bias and uncertainty in camera calibration
Accurate camera calibration is a precondition for many computer vision a...
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07/15/2021
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Despite recent advances in reinforcement learning (RL), its application ...
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07/01/2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
At the heart of all automated driving systems is the ability to sense th...
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05/14/2021
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Full-stack autonomous driving perception modules usually consist of data...
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05/10/2021
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data
Semantic understanding of the surrounding environment is essential for a...
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03/26/2021
YOLinO: Generic Single Shot Polyline Detection in Real Time
The detection of polylines in images is usually either bound to branchle...
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03/05/2021
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Systems and functions that rely on machine learning (ML) are the basis o...
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12/13/2020
Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering
Motion planning involves decision making among combinatorial maneuver va...
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09/25/2020
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
3D pedestrian detection is a challenging task in automated driving becau...
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08/26/2020
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Pedestrian crossing prediction is a crucial task for autonomous driving....
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05/13/2020
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
In this paper, we consider the transformation of laser range measurement...
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04/09/2020
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Reinforcement learning is nowadays a popular framework for solving diffe...
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03/02/2020
Learned Enrichment of Top-View Grid Maps Improves Object Detection
We propose an object detector for top-view grid maps which is additional...
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02/04/2020
Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving
Motion planners take uncertain information about the environment as an i...
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02/03/2020
Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups
We present our approach to unsupervised domain adaptation for single-sta...
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09/30/2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Behavior-related research areas such as motion prediction/planning, repr...
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06/06/2019
Anytime Lane-Level Intersection Estimation Based on Trajectories
Estimating and understanding the current scene is an inevitable capabili...
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04/17/2019
Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences
We present a self-supervised approach to estimate flow in camera image a...
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03/25/2019
Accurate Global Trajectory Alignment using Poles and Road Markings
Currently, digital maps are indispensable for automated driving. However...
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01/31/2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
We propose a deep convolutional object detector for automated driving ap...
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10/30/2018
Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving
Adverse weather conditions and occlusions in urban environments result i...
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05/14/2018
Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic
While motion planning approaches for automated driving often focus on sa...
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05/02/2018
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks
A detailed environment perception is a crucial component of automated ve...
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01/16/2018
Evidential Occupancy Grid Map Augmentation using Deep Learning
A detailed environment representation is a crucial component of automate...
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09/15/2017
Cooperative Motion Planning for Non-Holonomic Agents with Value Iteration Networks
Cooperative motion planning is still a challenging task for robots. Rece...
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08/23/2017
Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic
While motion planning techniques for automated vehicles in a reactive an...
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07/11/2017
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
In this paper, we present RegNet, the first deep convolutional neural ne...
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06/19/2017
Pedestrian Prediction by Planning using Deep Neural Networks
Accurate traffic participant prediction is the prerequisite for collisio...
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08/02/2016