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09/21/2023
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
The rapid development of 3D object detection systems for self-driving ca...
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08/14/2023
Multiple-Hypothesis Path Planning with Uncertain Object Detections
Path planning in obstacle-dense environments is a key challenge in robot...
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05/31/2023
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization
The uncertainty quantification of prediction models (e.g., neural networ...
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03/27/2023
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
For a self-driving car to operate reliably, its perceptual system must g...
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12/29/2022
Planning Paths through Occlusions in Urban Environments
This paper presents a novel framework for planning in unknown and occlud...
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09/23/2022
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs
A self-driving car must be able to reliably handle adverse weather condi...
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08/01/2022
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Advances in perception for self-driving cars have accelerated in recent ...
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07/27/2022
Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments
There has been a plethora of work towards improving robot perception and...
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05/27/2022
Is it Worth to Reason about Uncertainty in Occupancy Grid Maps during Path Planning?
This paper investigates the usefulness of reasoning about the uncertain ...
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03/29/2022
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Current 3D object detectors for autonomous driving are almost entirely t...
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03/22/2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Self-driving cars must detect vehicles, pedestrians, and other traffic p...
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02/26/2022
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking
This paper focuses on the problem of decentralized pedestrian tracking u...
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09/20/2021
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling
Shape and pose estimation is a critical perception problem for a self-dr...
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04/08/2021
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
The ability to develop a high-level understanding of a scene, such as pe...
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03/29/2021
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar
We present a method for detecting and mapping trees in noisy stereo came...
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03/26/2021
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
Self-driving cars must detect other vehicles and pedestrians in 3D to pl...
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11/25/2020
Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search
In this letter, we consider the Multi-Robot Efficient Search Path Planni...
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11/14/2020
Planning Paths Through Unknown Space by Imagining What Lies Therein
This paper presents a novel framework for planning paths in maps contain...
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07/06/2020
Wasserstein Distances for Stereo Disparity Estimation
Existing approaches to depth or disparity estimation output a distributi...
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05/17/2020
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
In the domain of autonomous driving, deep learning has substantially imp...
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04/07/2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Reliable and accurate 3D object detection is a necessity for safe autono...
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03/06/2020
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds
Planning in unstructured environments is challenging – it relies on sens...
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02/19/2020
Interactive Natural Language-based Person Search
In this work, we consider the problem of searching people in an unconstr...
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02/03/2020
Revisiting Meta-Learning as Supervised Learning
Recent years have witnessed an abundance of new publications and approac...
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01/28/2020
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points
This paper presents a pedestrian motion model that includes both low lev...
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01/25/2020
An Empirical Study of Person Re-Identification with Attributes
Person re-identification aims to identify a person from an image collect...
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10/30/2019
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
Object segmentation in three-dimensional (3-D) point clouds is a critica...
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06/14/2019
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Detecting objects such as cars and pedestrians in 3D plays an indispensa...
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12/18/2018
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
3D object detection is an essential task in autonomous driving. Recent t...
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10/26/2018
Anytime Stereo Image Depth Estimation on Mobile Devices
Many real-world applications of stereo depth estimation in robotics requ...
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10/19/2018
Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking
We present a data association method for vision-based multiple pedestria...
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10/09/2018
Autonomous Urban Localization and Navigation with Limited Information
Urban environments offer a challenging scenario for autonomous driving. ...
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03/06/2018
Secure Minimum Time Planning Under Environmental Uncertainty: an Extended Treatment
Cyber Physical Systems (CPS) are becoming ubiquitous and affect the phys...
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10/05/2017
