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Generic Prediction Architecture Considering both Rational and Irrational
  Driving Behaviors

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors

23 July 2019
Yeping Hu
Liting Sun
M. Tomizuka
ArXivPDFHTML

Papers citing "Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors"

8 / 8 papers shown
Title
Deep Interactive Motion Prediction and Planning: Playing Games with
  Motion Prediction Models
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
J. Vázquez
Alexander Liniger
Wilko Schwarting
Daniela Rus
Luc Van Gool
24
45
0
05 Apr 2022
Causal-based Time Series Domain Generalization for Vehicle Intention
  Prediction
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu
Xiaogang Jia
M. Tomizuka
Wei Zhan
OOD
38
25
0
03 Dec 2021
SVG-Net: An SVG-based Trajectory Prediction Model
SVG-Net: An SVG-based Trajectory Prediction Model
Mohammadhossein Bahari
Vahid Zehtab
Sadegh Khorasani
Sana Ayromlou
Saeed Saadatnejad
Alexandre Alahi
3DPC
21
3
0
07 Oct 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned
  Decision Trees for Autonomous Driving
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
Cillian Brewitt
Balint Gyevnar
Samuel Garcin
Stefano V. Albrecht
18
30
0
10 Mar 2021
Driving Behavior Modeling using Naturalistic Human Driving Data with
  Inverse Reinforcement Learning
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Zhiyu Huang
Jingda Wu
Chen Lv
OffRL
22
144
0
07 Oct 2020
A Taxonomy and Review of Algorithms for Modeling and Predicting Human
  Driver Behavior
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Kyle Brown
Katherine Driggs-Campbell
Mykel J. Kochenderfer
14
19
0
15 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
Interpretable Modelling of Driving Behaviors in Interactive Driving
  Scenarios based on Cumulative Prospect Theory
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Liting Sun
Wei Zhan
Yeping Hu
M. Tomizuka
9
33
0
19 Jul 2019
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