Alois Knoll

LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection

Online action detection is a task with the aim of identifying ongoing ac...
11/16/2020 ∙ by Sanqing Qu, et al. ∙ 4 ∙ share

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RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

Keypoint detector and descriptor are two main components of point cloud ...
10/23/2020 ∙ by Fan Lu, et al. ∙ 0 ∙ share

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Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning

Autonomous vehicles need to abide by the same rules that humans follow. ...
09/29/2020 ∙ by Klemens Esterle, et al. ∙ 0 ∙ share

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Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

Reinforcement learning algorithms such as hindsight experience replay (H...
07/27/2020 ∙ by Zhenshan Bing, et al. ∙ 0 ∙ share

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Formalizing Traffic Rules for Machine Interpretability

Autonomous vehicles need to be designed to abide by the same rules that ...
07/01/2020 ∙ by Klemens Esterle, et al. ∙ 0 ∙ share

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AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features

Multi-pedestrian tracking in aerial imagery has several applications suc...
06/27/2020 ∙ by Maximilian Kraus, et al. ∙ 16 ∙ share

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Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments

Most reinforcement learning approaches used in behavior generation utili...
06/22/2020 ∙ by Patrick Hart, et al. ∙ 0 ∙ share

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Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors

An unstable grasp pose can lead to slip, thus an unstable grasp pose can...
06/01/2020 ∙ by Qian Feng, et al. ∙ 0 ∙ share

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Accurate position tracking with a single UWB anchor

Accurate localization and tracking are a fundamental requirement for rob...
05/21/2020 ∙ by Yanjun Cao, et al. ∙ 0 ∙ share

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Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation

Mixed-Integer Quadratic Programming (MIQP) has been identified as a suit...
03/30/2020 ∙ by Klemens Esterle, et al. ∙ 0 ∙ share

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Robust Stochastic Bayesian Games for Behavior Space Coverage

A key challenge in multi-agent systems is the design of intelligent agen...
03/25/2020 ∙ by Julian Bernhard, et al. ∙ 0 ∙ share

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Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving

In decision-making for autonomous vehicles, we need to predict other veh...
03/20/2020 ∙ by Patrick Hart, et al. ∙ 0 ∙ share

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Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach

Legged locomotion is a challenging task in the field of robotics but a r...
03/17/2020 ∙ by Elie Aljalbout, et al. ∙ 0 ∙ share

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Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Building spiking neural networks (SNNs) based on biological synaptic pla...
03/10/2020 ∙ by Zhenshan Bing, et al. ∙ 9 ∙ share

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Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier

Identity recognition in a car cabin is a critical task nowadays and offe...
03/02/2020 ∙ by Michael Hammann, et al. ∙ 0 ∙ share

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Providentia -- A Large Scale Sensing System for the Assistance of Autonomous Vehicles

The environmental perception of autonomous vehicles is not only limited ...
06/16/2019 ∙ by Annkathrin Krämmer, et al. ∙ 0 ∙ share

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Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks

Many optimization methods for generating black-box adversarial examples ...
06/14/2019 ∙ by Thomas Brunner, et al. ∙ 0 ∙ share

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Leveraging Semantic Embeddings for Safety-Critical Applications

Semantic Embeddings are a popular way to represent knowledge in the fiel...
05/19/2019 ∙ by Thomas Brunner, et al. ∙ 0 ∙ share

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Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving

Although many research vehicle platforms for autonomous driving have bee...
05/08/2019 ∙ by Tobias Kessler, et al. ∙ 0 ∙ share

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From Specifications to Behavior: Maneuver Verification in a Semantic State Space

To realize a market entry of autonomous vehicles in the foreseeable futu...
05/02/2019 ∙ by Klemens Esterle, et al. ∙ 0 ∙ share

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A New Method for Atlanta World Frame Estimation

In this paper, we propose a new Atlanta frame estimation method by consi...
04/29/2019 ∙ by Yinlong Liu, et al. ∙ 0 ∙ share

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Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems

Most intelligent transportation systems use a combination of radar senso...
04/18/2019 ∙ by Christoph Schöller, et al. ∙ 16 ∙ share

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Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning

Similar to their counterparts in nature, the flexible bodies of snake-li...
04/16/2019 ∙ by Zhenshan Bing, et al. ∙ 0 ∙ share

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A Novel Method for the Absolute Pose Problem with Pairwise Constraints

Absolute pose estimation is a fundamental problem in computer vision, an...
03/25/2019 ∙ by Yinlong Liu, et al. ∙ 0 ∙ share

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The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction

Pedestrian motion prediction is a fundamental task for autonomous robots...
03/19/2019 ∙ by Christoph Schöller, et al. ∙ 0 ∙ share

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5G for the Factory of the Future: Wireless Communication in an Industrial Environment

In this paper, the application of 5G communication technology in an indu...
03/14/2019 ∙ by Florian Voigtländer, et al. ∙ 0 ∙ share

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Graph Neural Networks for Modelling Traffic Participant Interaction

By interpreting a traffic scene as a graph of interacting vehicles, we g...
03/04/2019 ∙ by Frederik Diehl, et al. ∙ 0 ∙ share

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Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks

We consider adversarial examples in the black-box decision-based scenari...
12/24/2018 ∙ by Thomas Brunner, et al. ∙ 0 ∙ share

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Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images

Ophthalmic microsurgery is known to be a challenging operation, which re...
08/17/2018 ∙ by Mingchuan Zhou, et al. ∙ 0 ∙ share

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A Survey on Agent-based Simulation using Hardware Accelerators

Due to decelerating gains in single-core CPU performance, computationall...
07/03/2018 ∙ by Jiajian Xiao, et al. ∙ 0 ∙ share

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Potentials and Implications of Dedicated Highway Lanes for Autonomous Vehicles

The introduction of autonomous vehicles (AVs) will have far-reaching eff...
09/22/2017 ∙ by Jordan Ivanchev, et al. ∙ 0 ∙ share

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Alois Knoll

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