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08/15/2023
CASPNet++: Joint Multi-Agent Motion Prediction
The prediction of road users' future motion is a critical task in suppor...
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06/08/2023
Deep Learning Method for Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
Current Deep Learning methods for environment segmentation and velocity ...
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06/05/2023
Quantification of Uncertainties in Deep Learning-based Environment Perception
In this work, we introduce a novel Deep Learning-based method to perceiv...
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05/22/2023
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds
For autonomous driving, radar sensors provide superior reliability regar...
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12/19/2022
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors
Segmentation of lidar data is a task that provides rich, point-wise info...
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06/20/2022
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation
To train a well performing neural network for semantic segmentation, it ...
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01/18/2022
Context-Aware Scene Prediction Network (CASPNet)
Predicting the future motion of surrounding road users is a crucial and ...
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01/29/2021
Polynomial Trajectory Predictions for Improved Learning Performance
The rising demand for Active Safety systems in automotive applications s...
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06/18/2020
On the Robustness of Active Learning
Active Learning is concerned with the question of how to identify the mo...
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06/17/2020
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances
Object detection algorithms for Lidar data have seen numerous publicatio...
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03/01/2020
Fast Lidar Clustering by Density and Connectivity
Lidar sensors are widely used in various applications, ranging from scie...
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08/26/2019
A Statistical Defense Approach for Detecting Adversarial Examples
Adversarial examples are maliciously modified inputs created to fool dee...
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05/06/2019
Fast and Reliable Architecture Selection for Convolutional Neural Networks
The performance of a Convolutional Neural Network (CNN) depends on its h...
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01/19/2018
EffNet: An Efficient Structure for Convolutional Neural Networks
With the ever increasing application of Convolutional Neural Networks to...
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01/01/2018