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05/17/2023
Towards Object Re-Identification from Point Clouds for 3D MOT
In this work, we study the problem of object re-identification (ReID) in...
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03/13/2023
Revealed Multi-Objective Utility Aggregation in Human Driving
A central design problem in game theoretic analysis is the estimation of...
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11/27/2022
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
Predicting the future motion of road agents is a critical task in an aut...
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10/20/2022
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
Explainable AI (XAI) methods are frequently applied to obtain qualitativ...
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10/03/2022
Interpretable Deep Tracking
Imagine experiencing a crash as the passenger of an autonomous vehicle. ...
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09/28/2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
3D object detection is an essential part of automated driving, and deep ...
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06/28/2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Self-supervised learning (SSL) is an emerging technique that has been su...
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06/01/2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
The estimation of uncertainty in robotic vision, such as 3D object detec...
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06/01/2022
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
Modelling pedestrian behavior is crucial in the development and testing ...
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05/10/2022
A Safety Assurable Human-Inspired Perception Architecture
Although artificial intelligence-based perception (AIP) using deep neura...
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05/05/2022
A Driver-Vehicle Model for ADS Scenario-based Testing
Scenario-based testing for automated driving systems (ADS) must be able ...
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02/08/2022
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
Machine Vision Components (MVC) are becoming safety-critical. Assuring t...
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01/20/2022
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning
We consider the challenge of finding a deterministic policy for a Markov...
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09/27/2021
A taxonomy of strategic human interactions in traffic conflicts
In order to enable autonomous vehicles (AV) to navigate busy traffic sit...
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09/20/2021
Generalized dynamic cognitive hierarchy models for strategic driving behavior
While there has been an increasing focus on the use of game theoretic mo...
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09/20/2021
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames
A particular challenge for both autonomous and human driving is dealing ...
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08/30/2021
The missing link: Developing a safety case for perception components in automated driving
Safety assurance is a central concern for the development and societal a...
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08/17/2021
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty
Formal reasoning on the safety of controller systems interacting with pl...
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01/07/2021
Self-Attention Based Context-Aware 3D Object Detection
Most existing point-cloud based 3D object detectors use convolution-like...
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10/10/2020
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations
Autonomous Vehicles (AV) will transform transportation, but also the int...
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09/21/2020
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving
With autonomous vehicles (AV) set to integrate further into regular huma...
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08/20/2020
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
We present Deformable PV-RCNN, a high-performing point-cloud based 3D ob...
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06/25/2020
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches
Deep neural networks (DNNs) have become the de facto learning mechanism ...
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01/30/2020
Universally Safe Swerve Manoeuvres for Autonomous Driving
This paper characterizes safe following distances for on-road driving wh...
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01/27/2020
Canadian Adverse Driving Conditions Dataset
The Canadian Adverse Driving Conditions (CADC) dataset was collected wit...
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11/07/2019
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation
The detection of out of distribution samples for image classification ha...
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10/23/2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output
Deep neural networks achieve superior performance in challenging tasks s...
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10/09/2019
Out-of-distribution Detection in Classifiers via Generation
By design, discriminatively trained neural network classifiers produce r...
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09/17/2019
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
Inter-vehicle communication for autonomous vehicles (AVs) stands to prov...
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09/09/2019
MLOD: A multi-view 3D object detection based on robust feature fusion method
This paper presents Multi-view Labelling Object Detector (MLOD). The det...
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08/21/2019
Design Space of Behaviour Planning for Autonomous Driving
We explore the complex design space of behaviour planning for autonomous...
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05/24/2019
Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective
The standard reinforcement learning (RL) formulation considers the expec...
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05/07/2019
FANTrack: 3D Multi-Object Tracking with Feature Association Network
We propose a data-driven approach to online multi-object tracking (MOT) ...
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05/01/2019
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
We introduce the Precise Synthetic Image and LiDAR (PreSIL) dataset for ...
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04/27/2019
Analysis of Confident-Classifiers for Out-of-distribution Detection
Discriminatively trained neural classifiers can be trusted, only when th...
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03/05/2019
Learning a Lattice Planner Control Set for Autonomous Vehicles
In this paper, we introduce a method to compute a sparse lattice planner...
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03/04/2019
A behavior driven approach for sampling rare event situations for autonomous vehicles
Performance evaluation of urban autonomous vehicles requires a realistic...
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03/03/2019
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
Perception is a safety-critical function of autonomous vehicles and mach...
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02/11/2019
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving
Machine learning can provide efficient solutions to the complex problems...
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12/06/2018
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
There is an increasingly apparent need for validating the classification...
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11/27/2018
Calibrating Uncertainties in Object Localization Task
In many safety-critical applications such as autonomous driving and surg...
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11/21/2018
Urban Driving with Multi-Objective Deep Reinforcement Learning
Autonomous driving is a challenging domain that entails multiple aspects...
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08/05/2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
The use of machine learning (ML) is on the rise in many sectors of softw...
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07/23/2018
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability
Embedded software is growing fast in size and complexity, leading to int...
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07/16/2018
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
In training deep neural networks for semantic segmentation, the main lim...
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09/07/2017
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Machine learning (ML) plays an ever-increasing role in advanced automoti...
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06/26/2017
Relating Complexity-theoretic Parameters with SAT Solver Performance
Over the years complexity theorists have proposed many structural parame...
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06/17/2015