Fetching the paper…
Reading the bibliography…
In modern autonomy stacks, prediction modules are paramount to planning motions in the presence of other mobile agents.
Detecting changes in signals and systems – a survey
M. Basseville · 1988
Earlier work this paper cites.
A time-dependent hamilton-jacobi formulation of reachable sets for continuous dynamic games
I. M. Mitchell, A. M. Bayen, and C. J. Tomlin · 2005
Earlier work this paper cites.
Safety verification of automated driving systems
R. Kianfar, P. Falcone, and J. Fredriksson · 2013
Earlier work this paper cites.
Online verification of automated road vehicles using reachability analysis
M. Althoff and J. M. Dolan · 2014
Earlier work this paper cites.
Trajectory planning for bertha - a local, continuous method
J. Ziegler, P. Bender, T. Dang, and C. Stiller · 2014
Earlier work this paper cites.
Realtime anomaly detection using trajectory-level crowd behavior learning
A. Bera, S. Kim, and D. Manocha · 2016
Earlier work this paper cites.
Finite sample complexity of rare pattern anomaly detection
M. A. Siddiqui, A. Fern, T. G. Dietterich, and S. Das · 2016
Earlier work this paper cites.
On a formal model of safe and scalable self-driving cars
S. Shalev-Shwartz, S. Shammah, and A. Shashua · 2017
Earlier work this paper cites.
A baseline for detecting misclassified and out-of-distribution examples in neural networks
D. Hendrycks and K. Gimpel · 2017
Earlier work this paper cites.
Path planning for autonomous vehicles using model predictive control
C. Liu, S. Lee, S. Varnhagen, and H. E. Tseng · 2017
Earlier work this paper cites.
Open category detection with pac guarantees
S. Liu, R. Garrepalli, T. G. Dietterich, A. Fern, and D. Hendrycks · 2018
Earlier work this paper cites.
Self-driving safety report, 2018
General Motors · 2018
Earlier work this paper cites.
A simple unified framework for detecting out-of-distribution samples and adversarial attacks
K. Lee, K. Lee, H. Lee, and J. Shin · 2018
Earlier work this paper cites.
Baidu apollo em motion planner, 2018
H. Fan, F. Zhu, C. Liu, L. Zhang, L. Zhuang, D. Li, W. Zhu, J. Hu, H. Li, and Q. Kong · 2018
Earlier work this paper cites.
Multimodal probabilistic model-based planning for human-robot interaction
E. Schmerling, K. Leung, W. Vollprecht, and M. Pavone · 2018
Earlier work this paper cites.
An introduction to the safety force field
D. Nistér, H. L. Lee, J. Ng, and Y. Wang · 2019
Earlier work this paper cites.
Collision avoidance: A literature review on threat-assessment techniques
J. Dahl, G. Rodrigues de Campos, C. Olsson, and J. Fredriksson · 2019
Earlier work this paper cites.
Uncertainty-based out-of-distribution classification in deep reinforcement learning
A. Sedlmeier, T. Gabor, T. Phan, L. Belzner, and C. Linnhoff-Popien · 2019
Cited alongside, same era.
End-to-end interpretable neural motion planner
W. Zeng, W. Luo, S. Suo, A. Sadat, B. Yang, S. Casas, and R. Urtasun · 2019
Cited alongside, same era.
On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions
K. Leung, E. Schmerling, M. Zhang, M. Chen, J. Talbot, J. C. Gerdes, and M. Pavone · 2020
Cited alongside, same era.
nuScenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
Cited alongside, same era.
Self-driving safety report, 2020
Lyft · 2020
Cited alongside, same era.
Self-driving safety report, 2021
NVIDIA · 2021
Later among the works it cites.
Towards the unification and data-driven synthesis of autonomous vehicle safety concepts
A. Bajcsy, K. Leung, E. Schmerling, and M. Pavone · 2021
Later among the works it cites.
A unifying review of deep and shallow anomaly detection
L. Ruff, J. R. Kauffmann, R. A. Vandermeulen, G. Montavon, W. Samek, M. Kloft, T. G. Dietterich, and K.-R. Müller · 2021
Later among the works it cites.
Sketching curvature for efficient out-of-distribution detection for deep neural networks
A. Sharma, N. Azizan, and M. Pavone · 2021
Later among the works it cites.
RLAD: time series anomaly detection through reinforcement learning and active learning
T. Wu and J. Ortiz · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
D. Hendrycks, S. Basart, M. Mazeika, M. Mostajabi, J. Steinhardt, and D. Song · 2020
Cited alongside, same era.
Policy entropy for out-of-distribution classification
A. Sedlmeier, R. Müller, S. Illium, and C. Linnhoff-Popien · 2020
Cited alongside, same era.
Real-time out-of-distribution detection in learning-enabled cyber-physical systems
F. Cai and X. Koutsoukos · 2020
Cited alongside, same era.
Human motion trajectory prediction: A survey
A. Rudenko, L. Palmieri, M. Herman, K. M. Kitani, D. M. Gavrila, and K. O. Arras · 2020
Cited alongside, same era.
MATS: An interpretable trajectory forecasting representation for planning and control
B. Ivanovic, A. Elhafsi, G. Rosman, A. Gaidon, and M. Pavone · 2020
Cited alongside, same era.
Reactive motion planning with probabilistic safety guarantees
Y. Chen, U. Rosolia, C. Fan, A. D. Ames, and R. Murray · 2020
Cited alongside, same era.
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T. Salzmann, B. Ivanovic, P. Chakravarty, and M. Pavone · 2020
Cited alongside, same era.
B. Ivanovic, K.-H. Lee, P. Tokmakov, B. Wulfe, R. McAllister, A. Gaidon, and M. Pavone · 2021
Later among the works it cites.
PTP: Parallelized tracking and prediction with graph neural networks and diversity sampling
X. Weng, Y. Yuan, and K. Kitani · 2021
Later among the works it cites.
Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions
S. Schaefer, K. Leung, B. Ivanovic, and M. Pavone · 2021
Later among the works it cites.
IEEE Std 2846-2022 , 2022
IEEE Standard for Assumptions in Safety-Related Models for Automated Driving Systems · 2022
Closest in time.
Sim-to-lab-to-real: Safe reinforcement learning with shielding and generalization guarantees
K.-C. Hsu, A. Z. Ren, D. P. Nguyen, A. Majumdar, and J. F. Fisac · 2022
Closest in time.
SHARP: Shielding-aware robust planning for safe and efficient human-robot interaction
H. Hu, K. Nakamura, and J. F. Fisac · 2022
Closest in time.
Safety assurances for human-robot interaction via confidence-aware game-theoretic human models
R. Tian, L. Sun, A. Bajcsy, M. Tomizuka, and A. D. Dragan · 2022
Closest in time.
Anomaly detection in multi-agent trajectories for automated driving
J. Wiederer, A. Bouazizi, M. Troina, U. Kressel, and V. Belagiannis · 2022
Closest in time.
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control
A. Farid, D. Snyder, A. Ren, and A. Majumdar · 2022
Closest in time.
MTP: Multi-hypothesis tracking and prediction for reduced error propagation
X. Weng, B. Ivanovic, and M. Pavone · 2022
Closest in time.
Injecting planning-awareness into prediction and detection evaluation
B. Ivanovic and M. Pavone · 2022
Closest in time.
Control-aware prediction objectives for autonomous driving
R. McAllister, B. Wulfe, J. Mercat, L. Ellis, S. Levine, and A. Gaidon · 2022
Closest in time.