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09/19/2023
Few-Shot Panoptic Segmentation With Foundation Models
Current state-of-the-art methods for panoptic segmentation require an im...
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09/12/2023
Collaborative Dynamic 3D Scene Graphs for Automated Driving
Maps have played an indispensable role in enabling safe and automated dr...
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08/10/2023
A Smart Robotic System for Industrial Plant Supervision
In today's chemical production plants, human field operators perform fre...
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07/02/2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments
Simultaneous localization and mapping (SLAM) in slowly varying scenes is...
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06/27/2023
AutoGraph: Predicting Lane Graphs from Traffic Observations
Lane graph estimation is a long-standing problem in the context of auton...
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06/20/2023
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
Robot localization using a previously built map is essential for a varie...
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06/10/2023
Fast yet predictable braking manoeuvers for real-time robot control
This paper proposes a framework for generating fast, smooth and predicta...
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05/08/2023
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
In policy learning for robotic manipulation, sample efficiency is of par...
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04/14/2023
FM-Loc: Using Foundation Models for Improved Vision-based Localization
Visual place recognition is essential for vision-based robot localizatio...
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03/21/2023
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces
The safe deployment of autonomous vehicles relies on their ability to ef...
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03/17/2023
CoVIO: Online Continual Learning for Visual-Inertial Odometry
Visual odometry is a fundamental task for many applications on mobile de...
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03/17/2023
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
Operating a robot in the open world requires a high level of robustness ...
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03/17/2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Early stopping based on the validation set performance is a popular appr...
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03/13/2023
Audio Visual Language Maps for Robot Navigation
While interacting in the world is a multi-sensory experience, many robot...
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03/06/2023
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Uncertainty estimation is crucial in safety-critical settings such as au...
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02/13/2023
Learning and Aggregating Lane Graphs for Urban Automated Driving
Lane graph estimation is an essential and highly challenging task in aut...
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02/08/2023
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
Bird's-Eye-View (BEV) semantic maps have become an essential component o...
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10/11/2022
Visual Language Maps for Robot Navigation
Grounding language to the visual observations of a navigating agent can ...
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10/10/2022
Uncertainty-aware LiDAR Panoptic Segmentation
Modern autonomous systems often rely on LiDAR scanners, in particular fo...
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10/04/2022
Grounding Language with Visual Affordances over Unstructured Data
Recent works have shown that Large Language Models (LLMs) can be applied...
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09/20/2022
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
A key component of graph-based SLAM systems is the ability to detect loo...
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09/19/2022
T3VIP: Transformation-based 3D Video Prediction
For autonomous skill acquisition, robots have to learn about the physica...
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09/19/2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Everyday tasks of long-horizon and comprising a sequence of multiple imp...
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09/12/2022
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories
Robustly classifying ground infrastructure such as roads and street cros...
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07/15/2022
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks
In this paper we propose USegScene, a framework for semantically guided ...
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06/29/2022
Uncertainty-aware Panoptic Segmentation
Reliable scene understanding is indispensable for modern autonomous syst...
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04/13/2022
What Matters in Language Conditioned Robotic Imitation Learning
A long-standing goal in robotics is to build robots that can perform a w...
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03/03/2022
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning
While lifelong SLAM addresses the capability of a robot to adapt to chan...
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03/01/2022
Affordance Learning from Play for Sample-Efficient Policy Learning
Robots operating in human-centered environments should have the ability ...
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01/30/2022
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues
Robust detection of moving vehicles is a critical task for any autonomou...
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12/06/2021
CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
General-purpose robots coexisting with humans in their environment must ...
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11/25/2021
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
A core challenge for an autonomous agent acting in the real world is to ...
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11/24/2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Accurate value estimates are important for off-policy reinforcement lear...
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10/20/2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
Robust localization in dense urban scenarios using a low-cost sensor set...
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10/07/2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
Learning to solve complex manipulation tasks from visual observations is...
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06/11/2021
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning
The transition from today's mostly human-driven traffic to a purely auto...
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05/01/2021
Lane Graph Estimation for Scene Understanding in Urban Driving
Lane-level scene annotations provide invaluable data in autonomous vehic...
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04/29/2021
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization
Visual domain randomization in simulated environments is a widely used m...
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03/30/2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
Estimating scene geometry from data obtained with cost-effective sensors...
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03/26/2021
Learning to Track with Object Permanence
Tracking by detection, the dominant approach for online multi-object tra...
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02/16/2021
Composing Pick-and-Place Tasks By Grounding Language
Controlling robots to perform tasks via natural language is one of the m...
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02/16/2021
EfficientLPS: Efficient LiDAR Panoptic Segmentation
Panoptic segmentation of point clouds is a crucial task that enables aut...
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11/17/2020
Modality-Buffet for Real-Time Object Detection
Real-time object detection in videos using lightweight hardware is a cru...
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10/21/2020
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay
The advances in computer processor technology have enabled the applicati...
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09/17/2020
Holistic Filter Pruning for Efficient Deep Neural Networks
Deep neural networks (DNNs) are usually over-parameterized to increase t...
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08/29/2020
Driving Through Ghosts: Behavioral Cloning with False Positives
Safe autonomous driving requires robust detection of other traffic parti...
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08/15/2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Self-supervised learning has emerged as a powerful tool for depth and eg...
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08/03/2020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
In autonomous driving, accurately estimating the state of surrounding ob...
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08/02/2020
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
A key challenge for an agent learning to interact with the world is to r...
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07/19/2020