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2211.08701
Cited By
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
16 November 2022
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
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Papers citing
"Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction"
23 / 23 papers shown
Title
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
Zhikai Zhao
Chuanbo Hua
Federico Berto
Kanghoon Lee
Zihan Ma
Jiachen Li
Jinkyoo Park
45
1
0
07 May 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
35
0
0
17 Apr 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
UQCV
65
0
0
25 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu
Tony Nguyen
Emma Dixon
Christopher Rodriguez
Patrick "Tree" Miller
Robert Lee
Paarth Shah
Rares Ambrus
Haruki Nishimura
Masha Itkina
OffRL
78
2
0
11 Mar 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
105
1
0
04 Mar 2025
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
75
0
0
13 Oct 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
52
4
0
16 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
37
5
0
07 Sep 2024
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
Mingshuo Liu
Shiyi Luo
Marlon Steiner
Fabian Konstantinidis
Hendrik Konigshof
Marvin Klemp
Carlos Fernandez
Christoph Stiller
42
2
0
02 Aug 2024
Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing
Divyagna Bavikadi
Dyuman Aditya
Devendra Parkar
Paulo Shakarian
Graham Mueller
Chad Parvis
Gerardo I. Simari
43
2
0
08 Jul 2024
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction
Jay Patrikar
Sushant Veer
Apoorva Sharma
Marco Pavone
Sebastian A. Scherer
26
1
0
18 May 2024
Driving Everywhere with Large Language Model Policy Adaptation
Boyi Li
Yue Wang
Jiageng Mao
B. Ivanovic
Sushant Veer
Karen Leung
Marco Pavone
27
30
0
08 Feb 2024
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Ben Stoler
Ingrid Navarro
Meghdeep Jana
Soonmin Hwang
Jonathan M Francis
Jean Oh
16
8
0
16 Sep 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
B. Xi
Kevin Scaria
Paulo Shakarian
Paulo Shakarian
32
2
0
28 Aug 2023
RedMotion: Motion Prediction via Redundancy Reduction
Royden Wagner
Ömer Sahin Tas
Marvin Klemp
Carlos Fernandez Lopez
Christoph Stiller
44
6
0
19 Jun 2023
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Wenbo Shao
Jun Li
Hong Wang
35
11
0
16 May 2023
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang
Fan Wang
Jianru Xue
Tat-Seng Chua
42
44
0
01 Nov 2022
LOPR: Latent Occupancy PRediction using Generative Models
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
AI4CE
39
5
0
03 Oct 2022
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
19
128
0
21 Dec 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
46
21
0
20 Sep 2021
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
65
21
0
19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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