ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.02749
  4. Cited By
"Curse of rarity" for autonomous vehicles
v1v2 (latest)

"Curse of rarity" for autonomous vehicles

Nature Communications (Nat Commun), 2022
6 July 2022
Henry X. Liu
Shuo Feng
ArXiv (abs)PDFHTML

Papers citing ""Curse of rarity" for autonomous vehicles"

36 / 36 papers shown
Title
Controllable Collision Scenario Generation via Collision Pattern Prediction
Controllable Collision Scenario Generation via Collision Pattern Prediction
Pin-Lun Chen
Chi-Hsi Kung
Che-Han Chang
Wei-Chen Chiu
Yi-Ting Chen
76
0
0
14 Oct 2025
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
Anton Razzhigaev
Matvey Mikhalchuk
Klim Kireev
Igor Udovichenko
Andrey Kuznetsov
Aleksandr Petiushko
214
9
0
11 Jun 2025
Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
Hang Zhou
Chengyuan Ma
Shiyu Shen
Zhaohui Liang
Xiaopeng Li
179
0
0
10 Jun 2025
Towards provable probabilistic safety for scalable embodied AI systems
Towards provable probabilistic safety for scalable embodied AI systems
Linxuan He
Qing-Shan Jia
Ang Li
Hongyan Sang
Ling Wang
...
Yisen Wang
Peng Wei
Zhongyuan Wang
Henry X. Liu
Shuo Feng
221
0
0
05 Jun 2025
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
Zihao Li
Xinyuan Cao
Xiangbo Gao
Kexin Tian
Keshu Wu
...
Yunlong Zhang
Tianbao Yang
Dominique Lord
Zhengzhong Tu
Yang Zhou
274
6
0
27 May 2025
Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles
Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles
Henry X. Liu
Xintao Yan
Haowei Sun
Tinghan Wang
Zhijie Qiao
Haojie Zhu
Shengyin Shen
Shuo Feng
Greg Stevens
Greg McGuire
179
1
0
22 May 2025
Rethink Repeatable Measures of Robot Performance with Statistical Query
Rethink Repeatable Measures of Robot Performance with Statistical Query
Bowen Weng
L. Capito
Guillermo A. Castillo
Dylan Khor
309
1
0
13 May 2025
RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation
RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation
Keyu Chen
Wenchao Sun
Hao Cheng
Sifa Zheng
375
3
0
06 May 2025
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
Jiawei Wang
Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
814
1
0
06 May 2025
Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation
Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation
Hubert Padusinski
Christian Steinhauser
Christian Scherl
Julian Gaal
Jacob Langner
3DPC
266
0
0
05 May 2025
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Yuewen Mei
Tong Nie
Jian Sun
Ye Tian
320
3
0
02 May 2025
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
Zhijie Qiao
Haowei Li
Zhong Cao
Henry X. Liu
VLM
388
46
0
01 May 2025
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models
Mohammad Zarei
Melanie A Jutras
Eliana Evans
Mike Tan
Omid Aaramoon
AAMLDiffM
149
0
0
24 Apr 2025
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous DrivingExpert systems with applications (ESWA), 2025
Xiaoshan Zhou
Carol Menassa
V. Kamat
106
5
0
14 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
Xinsong Zhang
Qian Zhang
Longfei Han
Qiang Qu
Xiaoming Chen
VGen
264
1
0
26 Mar 2025
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction
Yuansheng Lian
Ke Zhang
Meng Li
252
1
0
16 Mar 2025
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
Chonghao Sima
Kashyap Chitta
Zhiding Yu
Shiyi Lan
Ping Luo
Andreas Geiger
Haoyang Li
Jose M. Alvarez
274
20
0
14 Mar 2025
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback
Kangan Qian
Ziang Luo
Sicong Jiang
Zilin Huang
Jinyu Miao
...
Jiangbo Yu
Xinyu Jiao
Mengmeng Yang
Yunlong Wang
Ke Wang
264
8
0
11 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
284
6
0
22 Jan 2025
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like
  Autonomous Driving with Adaptive Feedback
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback
Kangan Qian
Zhikun Ma
Yangfan He
Ziang Luo
Lewei He
...
Zheng Fu
Xinyu Jiao
Yunlong Wang
Ke Wang
Takafumi Matsumaru
AI4CE
211
6
0
27 Nov 2024
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for
  Enhancing Autonomous Vehicle Robustness
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness
Xuan Cai
Zhiyong Cui
Xuesong Bai
Ruimin Ke
Zhenshu Ma
Haiyang Yu
Yilong Ren
AAML
155
0
0
19 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario GenerationIEEE Robotics and Automation Letters (RA-L), 2024
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
324
8
0
16 Sep 2024
Multimodal Large Language Model Driven Scenario Testing for Autonomous
  Vehicles
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
Qiujing Lu
Xuanhan Wang
Yiwei Jiang
Guangming Zhao
Mingyue Ma
Shuo Feng
254
23
0
10 Sep 2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal
  Importance Sampling for Automated Vehicle Validation
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation
Yichun Ye
He Zhang
Ye Tian
Jian Sun
145
0
0
10 Jul 2024
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with
  Reasonable Adversariality
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
Keyu Chen
Yuheng Lei
Hao Cheng
Haoran Wu
Wenchao Sun
Sifa Zheng
AAML
254
6
0
05 Jun 2024
Repeatable and Reliable Efforts of Accelerated Risk Assessment
Repeatable and Reliable Efforts of Accelerated Risk Assessment
L. Capito
Guillermo A. Castillo
Bowen Weng
132
2
0
30 May 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for
  Intelligent Systems
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
Ruoxuan Bai
Jingxuan Yang
Weiduo Gong
Yi Zhang
Qiujing Lu
Shuo Feng
273
5
0
20 Mar 2024
Adaptive Testing Environment Generation for Connected and Automated
  Vehicles with Dense Reinforcement Learning
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Jingxuan Yang
Ruoxuan Bai
Haoyuan Ji
Yi Zhang
Jianming Hu
Shuo Feng
195
8
0
29 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles
A survey on robustness in trajectory prediction for autonomous vehicles
Jeroen Hagenus
Frederik Baymler Mathiesen
J. Schumann
Arkady Zgonnikov
275
6
0
02 Feb 2024
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood
  Coverage and Similarity
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
Shu Li
Jingxuan Yang
Honglin He
Yi Zhang
Jianming Hu
Shuo Feng
121
6
0
02 Feb 2024
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D
  Object Detection for Safe Autonomous Driving: An Empirical Exploration
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Ross Greer
Bjørk Antoniussen
M. V. Andersen
Andreas Møgelmose
Mohan M. Trivedi
3DPC
226
21
0
30 Jan 2024
Towards Knowledge-driven Autonomous Driving
Towards Knowledge-driven Autonomous Driving
Xin Li
Yeqi Bai
Pinlong Cai
Licheng Wen
Daocheng Fu
...
Yikang Li
Botian Shi
Yong-Jin Liu
Xiaoling Wang
Yu Qiao
331
34
0
07 Dec 2023
A Comprehensive Survey on Rare Event Prediction
A Comprehensive Survey on Rare Event PredictionACM Computing Surveys (ACM Comput. Surv.), 2023
Chathurangi Shyalika
Ruwan Wickramarachchi
A. Sheth
AI4TS
225
39
0
20 Sep 2023
Ensuring Reliable Robot Task Performance through Probabilistic
  Rare-Event Verification and Synthesis
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis
Guy Scher
Sadra Sadraddini
Ariel Yadin
H. Kress-Gazit
115
1
0
28 Apr 2023
ROCO: A Roundabout Traffic Conflict Dataset
ROCO: A Roundabout Traffic Conflict Dataset
Depu Meng
Owen Sayer
Rusheng Zhang
Shengyin Shen
Houqiang Li
Henry X. Liu
86
3
0
01 Mar 2023
An adaptive multi-fidelity sampling framework for safety analysis of
  connected and automated vehicles
An adaptive multi-fidelity sampling framework for safety analysis of connected and automated vehicles
Xianliang Gong
Shuo Feng
Yulin Pan
201
9
0
25 Oct 2022
1