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Toward Verifiable Real-Time Obstacle Motion Prediction for Dynamic
  Collision Avoidance

Toward Verifiable Real-Time Obstacle Motion Prediction for Dynamic Collision Avoidance

2 November 2018
Vince Kurtz
Hai Lin
ArXivPDFHTML

Papers citing "Toward Verifiable Real-Time Obstacle Motion Prediction for Dynamic Collision Avoidance"

4 / 4 papers shown
Title
Anti-collision Technologies for Unmanned Aerial Vehicles: Recent
  Advances and Future Trends
Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends
Zhiqing Wei
Zeyang Meng
Meichen Lai
Huici Wu
Jiarong Han
Z. Feng
29
35
0
27 Sep 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1