Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:25:04.507061Z
Paper Citation Record · LEDGER
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
As of 15 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2501.12269.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
72 of 72 outbound references displayed
- verified exact0
- verified fuzzy57
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cbe8950a-8aba-4957-b4b8-d662439f84c8 · outbound
This paper cites A Survey on Automated Driving System Testing: Landscapes and Trends,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A Survey on Automated Driving System Testing: Landscapes and Trends,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.828569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ce310ae-503d-41be-aab0-9d225ebfc36f · outbound
This paper cites A survey of autonomous driving: Common practices and emerging technologies,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A survey of autonomous driving: Common practices and emerging technologies,
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06735b6b-da26-45e3-8163-3dad3537ef73 · outbound
This paper cites Panoptic Perception for Autonomous Driving: A Survey.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Panoptic Perception for Autonomous Driving: A Survey
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.134121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a996c5e-5dd1-4c8d-b66f-2e48bb6ebaa7 · outbound
This paper cites A survey of deep learning techniques for autonomous driving,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A survey of deep learning techniques for autonomous driving,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.803222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2ed9b732-9d16-4760-8a6b-b3f4e2520dfe · outbound
This paper cites Understanding how image quality affects deep neural networks,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Understanding how image quality affects deep neural networks,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 732dd1de-ec45-4160-a66f-d66e23b3ad21 · outbound
This paper cites Generalisation in humans and deep neural networks,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Generalisation in humans and deep neural networks,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.773394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f43bdd08-830b-46dd-b2ed-9d20628e795c · outbound
This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking neural network ro- bustness to common corruptions and perturbations,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.156141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6e1de65-095c-450f-af92-74b43f72dba2 · outbound
This paper cites AugMix: A simple data processing method to improve robustness and uncertainty,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems AugMix: A simple data processing method to improve robustness and uncertainty,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.748705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 26399475-8d76-4fc9-87a0-090c562abfc3 · outbound
This paper cites A simple way to make neural networks robust against diverse image corruptions,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A simple way to make neural networks robust against diverse image corruptions,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.734287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0ca73bb8-89e5-49b6-884b-a307393bf35e · outbound
This paper cites Achieving generalizable robustness of deep neural networks by stability training,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Achieving generalizable robustness of deep neural networks by stability training,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.706346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4697a9c-10e3-4810-a248-8b369b2d831a · outbound
This paper cites Data augmentation for improving deep learning in image classification problem,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Data augmentation for improving deep learning in image classification problem,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.690234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4db4d460-81cc-489e-9c76-401869377a14 · outbound
This paper cites Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.673666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 295de45b-c743-4a01-8a4e-92fd4c3964bb · outbound
This paper cites Marmot: Metamorphic runtime monitoring of autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Marmot: Metamorphic runtime monitoring of autonomous driving systems,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.658174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a29c516-1ff0-434e-8b75-7b2579b4fcb3 · outbound
This paper cites Deepxplore: Automated whitebox testing of deep learning systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deepxplore: Automated whitebox testing of deep learning systems,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.638476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 958908aa-5d31-4669-a9e7-505ec6a845d3 · outbound
This paper cites Deeptest: automated testing of deep-neural-network-driven autonomous cars,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deeptest: automated testing of deep-neural-network-driven autonomous cars,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.621226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4cf2a76-92cc-4818-a0e3-802d051c8195 · outbound
This paper cites Deepbillboard: Systematic physical-world testing of autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deepbillboard: Systematic physical-world testing of autonomous driving systems,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.605959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a78d4777-d011-46cb-b77b-c689ffd6f492 · outbound
This paper cites Comparing offline and online testing of deep neural networks: An autonomous car case study,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Comparing offline and online testing of deep neural networks: An autonomous car case study,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.587636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 80cfcb3f-8e49-424d-9528-4e5056b0759f · outbound
This paper cites Can offline testing of deep neural networks replace their online testing? a case study of automated driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Can offline testing of deep neural networks replace their online testing? a case study of automated driving systems,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.569408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation feb96652-ee0c-4cd0-ba8c-6ecd3e883173 · outbound
This paper cites Model vs system level testing of autonomous driving systems: a replication and extension study,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Model vs system level testing of autonomous driving systems: a replication and extension study,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.549803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d640f279-023d-44e4-8ce5-5b82370f8a71 · outbound
This paper cites Identifying and explaining safety-critical scenarios for autonomous vehicles via key features,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Identifying and explaining safety-critical scenarios for autonomous vehicles via key features,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.528203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3789c735-491a-4587-9398-4fa3dd0ee16f · outbound
This paper cites Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.504680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6497d5a7-03c6-44a7-8bca-6c3c924bd78a · outbound
This paper cites PAFOT: A Position- Based Approach for Finding Optimal Tests of Autonomous Vehicles,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems PAFOT: A Position- Based Approach for Finding Optimal Tests of Autonomous Vehicles,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.483763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 19e79de3-b82e-4e9a-936b-d344e9084ebd · outbound
This paper cites Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.464067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e4f9e063-d540-47cc-bf38-0dc23608d9e9 · outbound
This paper cites DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.237035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8cf673e-11bb-4f0e-9cd8-d4a5c1ab2ef1 · outbound
This paper cites Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.243886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a0ef357-0501-4742-98be-4521a40a90e6 · outbound
This paper cites An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.446919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b7ace067-a46f-4914-b02a-67f33a85066c · outbound
This paper cites Utilizing genetic algorithms for generating critical scenarios for testing autonomous driving functions,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Utilizing genetic algorithms for generating critical scenarios for testing autonomous driving functions,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.431332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8cc3bf6c-b8ee-486a-b854-2bbffa303975 · outbound
This paper cites Ambiegen: A search-based framework for autonomous systems testingimage 1,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Ambiegen: A search-based framework for autonomous systems testingimage 1,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.413913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f713b81c-3601-4f99-9c8c-de6d2a26f831 · outbound
This paper cites Reality bites: Assessing the realism of driving scenarios with large language models,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Reality bites: Assessing the realism of driving scenarios with large language models,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.398142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c62beb2-191e-448f-8c9e-d5be32e4c4dd · outbound
This paper cites Crag – a combinatorial testing-based generator of road geometries for ads testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Crag – a combinatorial testing-based generator of road geometries for ads testing,
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.279254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe3e4ae-c081-4893-8461-b169e2ac98a9 · outbound
This paper cites Parameter coverage for testing of autonomous driving systems under uncertainty,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Parameter coverage for testing of autonomous driving systems under uncertainty,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.374651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7f4e9adb-db01-4d27-a96b-a6aa2e8db17a · outbound
This paper cites Simulation-based safety testing of automated driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Simulation-based safety testing of automated driving systems,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.290450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12b01bca-f113-4251-8fca-8869d0806042 · outbound
This paper cites A process for scenario prioritization and selection in simulation- based safety testing of automated driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A process for scenario prioritization and selection in simulation- based safety testing of automated driving systems,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.349632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1121633b-a849-4c38-9a5e-09db07ce4893 · outbound
This paper cites Efficient domain augmentation for autonomous driving testing using diffusion models,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Efficient domain augmentation for autonomous driving testing using diffusion models,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.333436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0672272a-4840-4c27-9dc9-be4b886c24f0 · outbound
This paper cites Data augmentation technology driven by image style transfer in self-driving car based on end-to-end learning,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Data augmentation technology driven by image style transfer in self-driving car based on end-to-end learning,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.315851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bfa2af85-62e4-47a5-8764-6f0d86360bf7 · outbound
This paper cites Learning when to use adaptive adversarial image perturbations against autonomous vehicles,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Learning when to use adaptive adversarial image perturbations against autonomous vehicles,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.301949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25698ca5-65db-4c90-bb35-08bdb6f99838 · outbound
This paper cites DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.282464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 286cf002-1cf7-4470-b2eb-41373d26f3c5 · outbound
This paper cites Efficient performance prediction of end- to-end autonomous driving under continuous distribution shifts based on anomaly detection,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Efficient performance prediction of end- to-end autonomous driving under continuous distribution shifts based on anomaly detection,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.264997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a88ea8cb-5dc5-4cc9-947d-8c2718b2e39b · outbound
This paper cites Replication package,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Replication package,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.243017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c007f1dd-0fb1-43fd-817a-7cc7cab97268 · outbound
This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c2b7c98-d25a-49f5-a012-6e61000285ac · outbound
This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems MNIST-C: A Robustness Benchmark for Computer Vision
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.338501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02244fff-fcde-4d8a-917d-70f9861e70e9 · outbound
This paper cites Autoaugment: Learning augmentation strategies from data,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Autoaugment: Learning augmentation strategies from data,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.228161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0dd12357-a8e5-4343-afbe-08fb41803f91 · outbound
This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Randaugment: Practical automated data augmentation with a reduced search space,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.212203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bdac02f4-8544-45d6-8b58-19d1eb036aff · outbound
This paper cites Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.196627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6f5699f4-c4f5-4819-a32c-edcbeac563fa · outbound
This paper cites Adversarial Self-Defense for Cycle-Consistent GANs,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Adversarial Self-Defense for Cycle-Consistent GANs,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.180885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2d39de21-0261-4fd1-86e7-baa8ddb81943 · outbound
This paper cites Generating Adversarial Examples in One Shot With Image- to-Image Translation GAN,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Generating Adversarial Examples in One Shot With Image- to-Image Translation GAN,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.164107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0fa9ebd5-2d7c-47ec-b23f-305fd333fff3 · outbound
This paper cites DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.142871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 123312c2-d866-4abc-b9cb-b977b7f56cf9 · outbound
This paper cites Udacity self-driving car simulator,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Udacity self-driving car simulator,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.123147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be198e5f-3c64-4e0d-8598-e8bd9d58c48e · outbound
This paper cites Sdsandbox,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Sdsandbox,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.099776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 217ab64a-0124-4b3a-9cbc-007e6078d016 · outbound
This paper cites OpenCat: Improving Interoperability of ADS Testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems OpenCat: Improving Interoperability of ADS Testing,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.085333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fdfda7dd-ef79-4855-954f-178caa09b291 · outbound
This paper cites A framework for automated driving system testable cases and scenarios,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A framework for automated driving system testable cases and scenarios,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.070774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e736370-e4da-438a-aa2a-5080a3bc3698 · outbound
This paper cites Standing general order on crash reporting for level 2 advanced driver assistance systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Standing general order on crash reporting for level 2 advanced driver assistance systems,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.052350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2d220db1-c0b2-4777-89f2-62f0f2da2726 · outbound
This paper cites Segformer: simple and efficient design for semantic segmentation with transformers,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Segformer: simple and efficient design for semantic segmentation with transformers,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.032651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d8080246-ecc2-45bb-9511-94eea0226f2d · outbound
This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems The Cityscapes Dataset for Semantic Urban Scene Understanding,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:05.004292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 295465d9-0425-495c-b307-e497603a98bf · outbound
This paper cites Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.982408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ca85d9a-ebcd-414e-a3bc-678bfab119ab · outbound
This paper cites End to End Learning for Self-Driving Cars.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems End to End Learning for Self-Driving Cars
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.429941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6a2496d-1805-4acd-86c7-b31ec2dca0cc · outbound
This paper cites Two is better than one: digital siblings to improve autonomous driving testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Two is better than one: digital siblings to improve autonomous driving testing,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.962170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 58cfb7fe-6735-44d2-a964-c26f599abe30 · outbound
This paper cites Quality metrics and oracles for autonomous vehicles testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Quality metrics and oracles for autonomous vehicles testing,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.942410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bb17fc0d-2031-483a-824d-024499f12f3e · outbound
This paper cites Boundary state generation for testing and improvement of autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Boundary state generation for testing and improvement of autonomous driving systems,
Reference 59
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-10T17:25:04.654738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7ff20e6-9b1c-4250-95ec-80433c91cd28 · outbound
This paper cites Virtualworlds as proxy for multi-object tracking analysis,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Virtualworlds as proxy for multi-object tracking analysis,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.923351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1dac009c-9a1f-4158-acea-b6f38db11c2d · outbound
This paper cites an unresolved cited work.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T17:25:04.907271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7564f26f-064b-40e6-a340-8e2482639790 · outbound
This paper cites Nvidia PhysX,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Nvidia PhysX,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.892457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ce75ffda-0549-4a5e-be47-a24372f30d7f · outbound
This paper cites an unresolved cited work.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T17:25:04.878995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c93d9686-af2c-4055-abd3-c22bc8c4d2c3 · outbound
This paper cites nvidia/segformer-b0-finetuned-cityscapes-640-1280 · hugging face,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems nvidia/segformer-b0-finetuned-cityscapes-640-1280 · hugging face,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.866436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74b66b7a-7335-4504-b92a-1c9a87541416 · outbound
This paper cites Papers with code, cityscapes segmentation bench- marks.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Papers with code, cityscapes segmentation bench- marks
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.852682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4d73bdbd-1843-4380-8812-0597b98ed965 · outbound
This paper cites Augmented reality meets computer vision: Efficient data generation for urban driving scenes,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Augmented reality meets computer vision: Efficient data generation for urban driving scenes,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.836287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c9586b03-369d-4a58-8869-d1d3ce94af8c · outbound
This paper cites Evaluating the impact of flaky simulators on testing autonomous driving systems,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Evaluating the impact of flaky simulators on testing autonomous driving systems,
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:25:04.488180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9735a0-19ca-4dfb-80d3-3caf2cf99e58 · outbound
This paper cites Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.809764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e77ed1de-b9f1-4d04-b92c-388877fa17ff · outbound
This paper cites Choose your simulator wisely: A review on open-source simulators for autonomous driving,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Choose your simulator wisely: A review on open-source simulators for autonomous driving,
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.794289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a7508fc-ecc5-4a92-8e7f-959517701716 · outbound
This paper cites Towards a review on simulated adas/ad testing,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Towards a review on simulated adas/ad testing,
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.779025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be7b368e-443c-4cf7-b0f8-8caaf30babc4 · outbound
This paper cites Benchmarking Generative AI Models for Deep Learning Test Input Generation,.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking Generative AI Models for Deep Learning Test Input Generation,
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:25:04.764597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 54a12585-9d3b-493d-a7ab-598887847296 · outbound
This paper cites an unresolved cited work.
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T17:25:05.719649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.