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. 1809.09310
  4. Cited By
Scenic: A Language for Scenario Specification and Scene Generation

Scenic: A Language for Scenario Specification and Scene Generation

25 September 2018
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
ArXivPDFHTML

Papers citing "Scenic: A Language for Scenario Specification and Scene Generation"

28 / 28 papers shown
Title
MRTA-Sim: A Modular Simulator for Multi-Robot Allocation, Planning, and Control in Open-World Environments
MRTA-Sim: A Modular Simulator for Multi-Robot Allocation, Planning, and Control in Open-World Environments
Victoria Tuck
Hardik Parwana
Pei-Wei Chen
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
S. Shankar Sastry
S. Seshia
20
0
0
21 Apr 2025
On Scenario Formalisms for Automated Driving
On Scenario Formalisms for Automated Driving
Christian Neurohr
Lukas Westhofen
Tjark Koopmann
Eike Möhlmann
Eckard Böde
Axel Hahn
21
0
0
07 Apr 2025
AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports
AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports
X. Zhang
Qian Zhang
Longfei Han
Qiang Qu
Xiaoming Chen
VGen
62
0
0
26 Mar 2025
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Ziwei Song
Mingsong Lv
Tianchi Ren
Chun Jason Xue
Jen-Ming Wu
Nan Guan
77
0
0
17 Feb 2025
From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events
From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events
Yan Miao
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
Danil Prokhorov
Sayan Mitra
79
1
0
28 Jan 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting
  Diversity
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales
Stefanos Nikolaidis
AI4CE
26
0
0
07 Nov 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
Bowen Li
Zhaoyu Li
Qiwei Du
Jinqi Luo
Wenshan Wang
...
Katia P. Sycara
Pradeep Kumar Ravikumar
Alexander G. Gray
X. Si
Sebastian A. Scherer
AI4CE
LRM
77
3
0
01 Nov 2024
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
28
1
0
16 Sep 2024
Simulation-based Scenario Generation for Robust Hybrid AI for Autonomy
Simulation-based Scenario Generation for Robust Hybrid AI for Autonomy
Hambisa Keno
N. Pioch
Christopher Guagliano
Timothy H. Chung
22
1
0
10 Sep 2024
ROBUST: 221 Bugs in the Robot Operating System
ROBUST: 221 Bugs in the Robot Operating System
C. Timperley
G. V. D. Hoorn
André Santos
Harshavardhan Deshpande
Andrzej Wasowski
16
4
0
04 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
40
1
0
26 Mar 2024
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
21
7
0
12 Apr 2023
Finding Needles in Haystack: Formal Generative Models for Efficient
  Massive Parallel Simulations
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
Osama Maqbool
J. Roßmann
AI4CE
14
0
0
03 Jan 2023
Safety Analysis of Autonomous Driving Systems Based on Model Learning
Safety Analysis of Autonomous Driving Systems Based on Model Learning
Renjue Li
Tianhang Qin
Pengfei Yang
Cheng-Chao Huang
Youcheng Sun
Lijun Zhang
16
1
0
23 Nov 2022
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in
  CARLA
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA
Shreyas Ramakrishna
Baiting Luo
Christopher B. Kuhn
G. Karsai
Abhishek Dubey
AAML
21
17
0
19 Jul 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
Pasquale Antonante
Heath Nilsen
Luca Carlone
37
24
0
22 May 2022
Formally Modeling Autonomous Vehicles in LNT for Simulation and Testing
Formally Modeling Autonomous Vehicles in LNT for Simulation and Testing
Lina Marsso
Radu Mateescu
L. Muller
Wendelin Serwe
11
2
0
18 Mar 2022
Toward Unsupervised Test Scenario Extraction for Automated Driving
  Systems from Urban Naturalistic Road Traffic Data
Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data
N. Weber
Christoph Thiem
U. Konigorski
11
2
0
14 Feb 2022
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior
  Prediction Models in Simulation
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation
Francis Indaheng
Edward Kim
Kesav Viswanadha
Jay Shenoy
Jinkyu Kim
Daniel J. Fremont
S. Seshia
20
9
0
28 Oct 2021
GzScenic: Automatic Scene Generation for Gazebo Simulator
GzScenic: Automatic Scene Generation for Gazebo Simulator
Afsoon Afzal
Claire Le Goues
C. Timperley
11
4
0
17 Apr 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous
  Vehicles
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi
S. Hari
I. Frosio
Timothy Tsai
Alejandro J. Troccoli
S. Keckler
S. Garg
Anima Anandkumar
19
40
0
12 Mar 2021
Testing Autonomous Systems with Believed Equivalence Refinement
Testing Autonomous Systems with Believed Equivalence Refinement
Chih-Hong Cheng
Rongjie Yan
14
0
0
08 Mar 2021
Scenic: A Language for Scenario Specification and Data Generation
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont
Edward J. Kim
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
22
97
0
13 Oct 2020
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing
  System with VerifAI
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI
Daniel J. Fremont
Johnathan Chiu
D. Margineantu
Denis Osipychev
S. Seshia
21
53
0
14 May 2020
Search-based Test-Case Generation by Monitoring Responsibility Safety
  Rules
Search-based Test-Case Generation by Monitoring Responsibility Safety Rules
Mohammad Hekmatnejad
Bardh Hoxha
Georgios Fainekos
17
16
0
25 Apr 2020
Semantic Adversarial Deep Learning
Semantic Adversarial Deep Learning
S. Seshia
S. Jha
T. Dreossi
AAML
SILM
11
90
0
19 Apr 2018
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
226
1,835
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
932
0
21 Oct 2016
1