ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.13507
  4. Cited By
The Reasonable Crowd: Towards evidence-based and interpretable models of
  driving behavior

The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior

28 July 2021
Bassam Helou
Aditya Dusi
Anne-Sophie Collin
N. Mehdipour
Zhiliang Chen
Cristhian G. Lizarazo
C. Belta
Tichakorn Wongpiromsarn
R. D. Tebbens
Oscar Beijbom
ArXivPDFHTML

Papers citing "The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior"

12 / 12 papers shown
Title
RuleFuser: Injecting Rules in Evidential Networks for Robust
  Out-of-Distribution Trajectory Prediction
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
A Review of Reward Functions for Reinforcement Learning in the context
  of Autonomous Driving
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
40
6
0
12 Apr 2024
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review
  and Research Roadmap
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu
Azra Habibovic
Lars Kunze
32
3
0
19 Mar 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality,
  and a Future Outlook
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Mingyu Liu
Ekim Yurtsever
Jonathan Fossaert
Xingcheng Zhou
Walter Zimmer
Yuning Cui
B. L. Žagar
Alois C. Knoll
59
36
0
02 Jan 2024
Open-sourced Data Ecosystem in Autonomous Driving: the Present and
  Future
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
Hongyang Li
Yang Li
Huijie Wang
Jia Zeng
Huilin Xu
...
Kai Yan
Beipeng Mu
Zhihui Peng
Shaoqing Ren
Yu Qiao
27
24
0
06 Dec 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based
  Trajectory Predictors
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer
Apoorva Sharma
Marco Pavone
26
4
0
03 Jul 2023
Learning from Multiple Independent Advisors in Multi-agent Reinforcement
  Learning
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Kate Larson
Mark Crowley
13
1
0
26 Jan 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer
Karen Leung
Ryan K. Cosner
Yuxiao Chen
Peter Karkus
Marco Pavone
27
12
0
06 Dec 2022
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion
  Transformer
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Hao Shao
Letian Wang
Ruobing Chen
Hongsheng Li
Y. Liu
47
195
0
28 Jul 2022
Quantification of Actual Road User Behavior on the Basis of Given
  Traffic Rules
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules
Daniel Bogdoll
Moritz Nekolla
Tim Joseph
J. Marius Zöllner
32
4
0
07 Feb 2022
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in
  Games with Prioritized Metrics
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
A. Zanardi
G. Zardini
S. Srinivasan
S. Bolognani
A. Censi
Florian Dorfler
Emilio Frazzoli
16
10
0
13 Nov 2021
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
83
764
0
13 Nov 2018
1