research
∙
08/28/2023
Group Regression for Query Based Object Detection and Tracking
Group regression is commonly used in 3D object detection to predict box ...
share
research
∙
08/11/2023
User Feedback and Sample Weighting for Ill-Conditioned Hand-Eye Calibration
Hand-eye calibration is an important and extensively researched method f...
research
∙
08/03/2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction
Despite the significant research efforts on trajectory prediction for au...
research
∙
08/01/2023
Advancing Frame-Dropping in Multi-Object Tracking-by-Detection Systems Through Event-Based Detection Triggering
With rising computational requirements modern automated vehicles (AVs) o...
research
∙
06/22/2023
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
Model compression techniques reduce the computational load and memory co...
research
∙
05/25/2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data
Autonomous vehicles rely on LiDAR sensors to perceive the environment. A...
research
∙
05/04/2023
Real-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization
Planning trajectories for automated vehicles in urban environments requi...
research
∙
05/02/2023
Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation
We propose a certifiably globally optimal approach for solving the hand-...
research
∙
05/02/2023
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation
Panoptic segmentation is one of the most challenging scene parsing tasks...
research
∙
04/17/2023
The Impact of Frame-Dropping on Performance and Energy Consumption for Multi-Object Tracking
The safety of automated vehicles (AVs) relies on the representation of t...
research
∙
04/12/2023
LMR: Lane Distance-Based Metric for Trajectory Prediction
The development of approaches for trajectory prediction requires metrics...
research
∙
04/12/2023
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction
It is desirable to predict the behavior of traffic participants conditio...
research
∙
03/16/2023
Tackling Clutter in Radar Data – Label Generation and Detection Using PointNet++
Radar sensors employed for environment perception, e.g. in autonomous ve...
research
∙
02/20/2023
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
We present a joint camera and radar approach to enable autonomous vehicl...
research
∙
02/13/2023
Exploring Navigation Maps for Learning-Based Motion Prediction
The prediction of surrounding agents' motion is a key for safe autonomou...
research
∙
01/09/2023
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
Understanding traffic scenes requires considering heterogeneous informat...
research
∙
10/26/2022
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Transformers have recently been utilized to perform object detection and...
research
∙
09/30/2022
Transformers for Object Detection in Large Point Clouds
We present TransLPC, a novel detection model for large point clouds that...
research
∙
09/05/2022
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories
Human intuition allows to detect abnormal driving scenarios in situation...
research
∙
07/11/2022
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds
LiDAR sensors used in autonomous driving applications are negatively aff...
research
∙
07/05/2022
Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception
The advance towards higher levels of automation within the field of auto...
research
∙
07/05/2022
Situation-Aware Environment Perception for Decentralized Automation Architectures
Advances in the field of environment perception for automated agents hav...
research
∙
07/01/2022
MotionMixer: MLP-based 3D Human Body Pose Forecasting
In this work, we present MotionMixer, an efficient 3D human body pose fo...
research
∙
06/27/2022
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
We introduce MGNet, a multi-task framework for monocular geometric scene...
research
∙
06/15/2022
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Reliable tracking algorithms are essential for automated driving. Howeve...
research
∙
06/10/2022
MEAT: Maneuver Extraction from Agent Trajectories
Advances in learning-based trajectory prediction are enabled by large-sc...
research
∙
05/31/2022
Transformers for Multi-Object Tracking on Point Clouds
We present TransMOT, a novel transformer-based end-to-end trainable onli...
research
∙
05/24/2022
Robust 3D Object Detection in Cold Weather Conditions
Adverse weather conditions can negatively affect LiDAR-based object dete...
research
∙
04/25/2022
A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
Gesture recognition is essential for the interaction of autonomous vehic...
research
∙
02/09/2022
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
Predicting the motion of surrounding vehicles is essential for autonomou...
research
∙
02/09/2022
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping
A common approach for modeling the environment of an autonomous vehicle ...
research
∙
01/12/2022
Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions
In this work, we present an approach for monocular hand-eye calibration ...
research
∙
12/02/2021
Situation-Aware Environment Perception Using a Multi-Layer Attention Map
Within the field of automated driving, a clear trend in environment perc...
research
∙
09/20/2021
Anomaly Detection in Radar Data Using PointNets
For autonomous driving, radar is an important sensor type. On the one ha...
research
∙
08/27/2021
Fast Rule-Based Clutter Detection in Automotive Radar Data
Automotive radar sensors output a lot of unwanted clutter or ghost detec...
research
∙
07/19/2021
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
Autonomous systems require a continuous and dependable environment perce...
research
∙
07/16/2021
Attention-based Vehicle Self-Localization with HD Feature Maps
We present a vehicle self-localization method using point-based deep neu...
research
∙
03/03/2021
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
A complete overview of the surrounding vehicle environment is important ...
research
∙
02/15/2021
Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics
Automated driving in urban scenarios requires efficient planning algorit...
research
∙
01/27/2021
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
In this work, we propose an approach for extrinsic sensor calibration fr...
research
∙
12/18/2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
The availability of many real-world driving datasets is a key reason beh...
research
∙
12/07/2020
On-Road Motion Planning for Automated Vehicles at Ulm University
The Institute of Measurement, Control and Microtechnology of the Univers...
research
∙
11/20/2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Capturing uncertainty in object detection is indispensable for safe auto...
research
∙
11/17/2020
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
Modeling and understanding the environment is an essential task for auto...
research
∙
11/02/2020
Point Transformer
In this work, we present Point Transformer, a deep neural network that o...
research
∙
10/07/2020
Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models
Efficient trajectory planning for urban intersections is currently one o...
research
∙
08/10/2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Reliable uncertainty estimation is crucial for robust object detection i...
research
∙
07/22/2020
DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration
This work addresses the problem of point cloud registration using deep n...
research
∙
07/10/2020
Using Machine Learning to Detect Ghost Images in Automotive Radar
Radar sensors are an important part of driver assistance systems and int...
research
∙
07/01/2020