Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey | Paper Citation Record

Observation bbdde488-249e-496b-9d2d-b0a2db772574 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous dr iving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey A survey on trajectory-prediction methods for autonomous dr iving,

Reference 1

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Observation 489effbf-3ab3-4c88-9f10-a874c2e3e289 · outbound

This paper cites The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

Reference 2

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Observation 880def9d-037c-4e19-9faa-0b9d6980c82f · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey End-to-end Autonomous Driving: Challenges and Frontiers

Reference 3

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Observation 68940a9a-a835-4914-a577-f100e64c8661 · outbound

This paper cites Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challe nges,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challe nges,

Reference 4

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Observation e539b165-8f96-4bc8-97ea-d042e777e923 · outbound

This paper cites Integrating knowledge graphs int o au- tonomous vehicle technologies: A survey of current state an d future directions,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Integrating knowledge graphs int o au- tonomous vehicle technologies: A survey of current state an d future directions,

Reference 5

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Observation f218e991-dbd5-4500-ab53-ce337e6aad3e · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Autonomous driving system: A comprehensive survey,

Reference 6

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Observation 5d165db6-d335-4fda-8669-3c01a93ac7c5 · outbound

This paper cites A sce nario- adaptive driving behavior prediction approach to urban aut onomous driving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey A sce nario- adaptive driving behavior prediction approach to urban aut onomous driving,

Reference 7

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Observation 94fd9eae-307a-4cfc-bdad-a5efe2ccc965 · outbound

This paper cites Ontology-based decision making on uncontrolled intersec tions and narrow roads,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Ontology-based decision making on uncontrolled intersec tions and narrow roads,

Reference 8

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Observation 1430d7f9-1418-4100-82c5-eb0385fbbbc8 · outbound

This paper cites Knowledge representa tion and planning for on-road driving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Knowledge representa tion and planning for on-road driving,

Reference 9

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Observation 3fb0c4fe-4883-45b6-8620-3f8855458279 · outbound

This paper cites SemanticFo rmer: Holistic and semantic trafﬁc scene representation for trajectory pr ediction using knowledge graphs,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey SemanticFo rmer: Holistic and semantic trafﬁc scene representation for trajectory pr ediction using knowledge graphs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.436405Z

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Observation dc8951e7-9441-45ab-b86c-f0275c5e3a41 · outbound

This paper cites Using ontology-based trafﬁc models for mor e efﬁcient decision making of autonomous vehicles,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Using ontology-based trafﬁc models for mor e efﬁcient decision making of autonomous vehicles,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.428104Z

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Observation cb7a9651-4237-4ef5-bcd6-a6354cca6df2 · outbound

This paper cites Bayesian-knowled ge driven ontologies: A framework for fusion of semantic knowledge un der uncertainty and incompleteness,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Bayesian-knowled ge driven ontologies: A framework for fusion of semantic knowledge un der uncertainty and incompleteness,

Reference 12

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Observation 685c5880-1fe3-4f3e-969e-b598a1a72a09 · outbound

This paper cites Ontology-based re asoning approach for long-term behavior prediction of road users,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Ontology-based re asoning approach for long-term behavior prediction of road users,

Reference 13

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Observation dfdd046b-60d3-4ade-94e1-6ffef45c2c94 · outbound

This paper cites Utilizing Background Knowledge for Robust Reason- ing over Trafﬁc Situations,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Utilizing Background Knowledge for Robust Reason- ing over Trafﬁc Situations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.402321Z

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Observation d4099e10-c3a5-4bab-b127-1000721fd194 · outbound

This paper cites Ontology-ba sed driving scene modeling, situation assessment and decision making for autonomous vehicles,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Ontology-ba sed driving scene modeling, situation assessment and decision making for autonomous vehicles,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.393556Z

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Observation bb2c3908-4737-4e2f-b633-b3c7cf4478b7 · outbound

This paper cites Using ontologies for the formalization and recognition of criticality for automated driving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Using ontologies for the formalization and recognition of criticality for automated driving,

Reference 16

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Observation 60d90cc0-dbaf-4113-838e-e8875bb5ace7 · outbound

This paper cites Ontology based knowledge representati on tech- nique, domain modeling languages and planners for robotic p ath planning: A survey,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Ontology based knowledge representati on tech- nique, domain modeling languages and planners for robotic p ath planning: A survey,

Reference 17

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Observation 1f2cfd92-00b2-449f-867a-84e8b2f5e0b4 · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey An ontology for sustainable intelligent transportation systems,

Reference 18

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Observation ea7c43d8-ad50-4250-a914-49954472b8df · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Ontology development for sustainable intelligent transportation systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.355942Z

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Observation eca90ff7-34fe-4deb-98c6-541bf6f61e02 · outbound

This paper cites Toward s the automation of knowledge graph construction using large lan guage models.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Toward s the automation of knowledge graph construction using large lan guage models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.346414Z

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Observation 0048edee-ee90-44b8-9e87-c47c75456682 · outbound

This paper cites Graph-based autonomous driving with trafﬁc- rule-enhanced curriculum learning,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Graph-based autonomous driving with trafﬁc- rule-enhanced curriculum learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.336397Z

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This paper cites Road trafﬁc law adaptive decision-making for sel f-driving vehicles,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Road trafﬁc law adaptive decision-making for sel f-driving vehicles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.326305Z

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Observation b0ec1011-86d9-4f7d-a462-e3e340bb0c32 · outbound

This paper cites Evolutionary decision-making and planning for autonomous driving: A hybrid augmented intelligence frame work,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Evolutionary decision-making and planning for autonomous driving: A hybrid augmented intelligence frame work,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.316811Z

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Observation a2991f3b-5b03-43b0-a404-6f3f3d4fc8ff · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework

Reference 24

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Observation 0915850d-ac68-4899-87de-5eb53b8e2e6b · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Personalized decision-making and control for auto- mated vehicles based on generative adversarial imitation l earning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.308403Z

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Observation e8cc77e8-f80c-4d2a-9355-942cf4673f71 · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Virtual to real reinfo rcement learning for autonomous driving,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.299950Z

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Observation a64c17ff-435d-4d5d-9d32-4b52bc25ed44 · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Deep reinforcement learning for autonomous driving: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.291700Z

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Observation 86e3f049-2f6d-4614-b10b-77efe135a7be · outbound

This paper cites Robust Autonomy Emerges from Self-Play.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Robust Autonomy Emerges from Self-Play

Reference 28

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Observation 0eb66ad1-a205-44fd-a706-d931c905b51c · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Driving everywhere with large language model policy adaptation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.283089Z

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Observation 7032d434-d793-42bc-903c-4301390730d5 · outbound

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Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Driving with regulation: Interpretable decision-making for auton omous vehi- cles with retrieval-augmented reasoning via LLM,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.274123Z

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Observation d2367ef2-284c-4dd9-87c4-493e0c898904 · outbound

This paper cites TR2MTL: llm b ased framework for metric temporal logic formalization of trafﬁ c rules,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey TR2MTL: llm b ased framework for metric temporal logic formalization of trafﬁ c rules,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.265004Z

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Observation 9483db57-8b53-45db-b81b-a617a8f6d1a2 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous drivin g via large language model,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Drivegpt4: Interpretable end-to-end autonomous drivin g via large language model,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.255526Z

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Observation f71769cd-8f7c-4071-89a7-58adbf5f84c1 · outbound

This paper cites A Language Agent for Autonomous Driving.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey A Language Agent for Autonomous Driving

Reference 33

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Observation 25456186-fe26-41fe-9524-462ee0132a23 · outbound

This paper cites EMMA: End-to-end multimodal model for au- tonomous driving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey EMMA: End-to-end multimodal model for au- tonomous driving,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.245112Z

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Observation d2ff11b8-56d2-47d4-915f-09a76bf77005 · outbound

This paper cites DriveLLM: Charting the path toward full autonomous driving with large language models,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey DriveLLM: Charting the path toward full autonomous driving with large language models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.235464Z

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Observation e861fb09-d31a-4a4a-8833-a380190f99e2 · outbound

This paper cites LanguageMPC: Large language models as decision makers for autonomous driving,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey LanguageMPC: Large language models as decision makers for autonomous driving,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.225354Z

Source-reported events for the cited work

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Observation 1208dbce-db91-4600-89b7-bafe72fd8050 · outbound

This paper cites Drive like a human: Rethinking autonomous driving with large language models,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Drive like a human: Rethinking autonomous driving with large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.216125Z

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Observation e129345a-c07a-4a65-943d-49219f1b7f75 · outbound

This paper cites RAG-Driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal l arge language model,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey RAG-Driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal l arge language model,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.206480Z

Source-reported events for the cited work

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Observation 337ecc25-8630-463d-9eca-a4d470f854a0 · outbound

This paper cites LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T20:44:01.754517Z

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Observation c29df38a-77f6-4095-ac33-75df628a684c · outbound

This paper cites Dilu: A knowledge-driven approach to autonomous driving with large language models,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Dilu: A knowledge-driven approach to autonomous driving with large language models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.197207Z

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Observation 229f875f-ae10-4f70-9ac5-86f054e26af0 · outbound

This paper cites Formalizing trafﬁc rule s for uncon- trolled intersections,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Formalizing trafﬁc rule s for uncon- trolled intersections,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.187937Z

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Observation 121a0204-93fb-4ff0-b9d2-d6cb9f78769d · outbound

This paper cites AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.178412Z

Source-reported events for the cited work

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Observation 5c34beaa-e9db-4ab7-9c12-b9228034767a · outbound

This paper cites Assessing drivers situa tion awareness in semi-autonomous vehicles: Asp based characterisations of driving dynamics for modeling scene interpretation and projection ,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Assessing drivers situa tion awareness in semi-autonomous vehicles: Asp based characterisations of driving dynamics for modeling scene interpretation and projection ,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.170633Z

Source-reported events for the cited work

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Observation 379265f0-3771-481c-9e58-fddc2e0562e6 · outbound

This paper cites Using reachable s ets for trajectory planning of automated vehicles,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Using reachable s ets for trajectory planning of automated vehicles,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.162480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c503cd22-fb5c-45cb-984e-b4376a8d1038 · outbound

This paper cites Set-based prediction of traf ﬁc partici- pants considering occlusions and trafﬁc rules,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Set-based prediction of traf ﬁc partici- pants considering occlusions and trafﬁc rules,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.154308Z

Source-reported events for the cited work

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Observation 68aa7e9c-75d8-4761-bdca-f5b1120b37a8 · outbound

This paper cites Adaptive cruise c ontrol: Hybrid, distributed, and now formally veriﬁed,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Adaptive cruise c ontrol: Hybrid, distributed, and now formally veriﬁed,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.145813Z

Source-reported events for the cited work

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Observation a9fc108e-9254-485c-97d7-0fd1040f3c2b · outbound

This paper cites Bhuiyan, G.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Bhuiyan, G

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.137372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5643f96c-0930-4e50-ab5b-f9154e47b53c · outbound

This paper cites Formalise r egulations for autonomous vehicles with right-open temporal deontic d efeasible logic,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Formalise r egulations for autonomous vehicles with right-open temporal deontic d efeasible logic,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.129450Z

Source-reported events for the cited work

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Observation b0b45ae8-60e0-4982-ba7d-04c6abcf73c1 · outbound

This paper cites Formalizing trafﬁc rules for machine interpretability,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Formalizing trafﬁc rules for machine interpretability,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.121095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 312aecf3-7ed0-4d6e-8611-103642942038 · outbound

This paper cites Trafﬁc netw ork control from temporal logic speciﬁcations,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Trafﬁc netw ork control from temporal logic speciﬁcations,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.111679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b772c97-83e3-446b-8551-4315f00fe81e · outbound

This paper cites Model predictive control with signal temporal logic speciﬁcations,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Model predictive control with signal temporal logic speciﬁcations,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.102539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05674629-b12d-4e50-8df9-6b8ee1dc78bc · outbound

This paper cites Model predictive control o f urban trafﬁc networks with temporal logic constraints,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Model predictive control o f urban trafﬁc networks with temporal logic constraints,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.093259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ceb973fd-0fe8-422f-a6ba-1c11ef388920 · outbound

This paper cites Model predictive robu stness of signal temporal logic predicates,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Model predictive robu stness of signal temporal logic predicates,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.083361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee276b15-400b-4d74-9000-27f649a77a71 · outbound

This paper cites Injecting knowledg e in data-driven vehicle trajectory predictors,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Injecting knowledg e in data-driven vehicle trajectory predictors,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.073481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb6c5f79-285a-48d1-a8e5-9d44c9f5858e · outbound

This paper cites Differentiable logic layer for rule guided trajectory prediction.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Differentiable logic layer for rule guided trajectory prediction

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.063215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation def1f006-1abb-4bfd-9063-e53d8fe73bf8 · outbound

This paper cites Towards Knowledge-driven Autonomous Driving.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Towards Knowledge-driven Autonomous Driving

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T20:44:01.805335Z

Source-reported events for the cited work

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Observation 762d92e8-ca56-45a5-a33a-b9cedd0be93c · outbound

This paper cites A Survey on Hybrid Motion Planning Methods for Automated Driving Systems.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey A Survey on Hybrid Motion Planning Methods for Automated Driving Systems

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:44:01.903593Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b519a78-00d0-43f9-ba1a-b96c811d0d56 · outbound

This paper cites Logic tensor networks,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Logic tensor networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.053147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6653b79-b8a8-41d8-aa14-c0c1f01e693f · outbound

This paper cites Deepproblog: Neural probabilistic logic program- ming,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Deepproblog: Neural probabilistic logic program- ming,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.043119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6d4d39f-deff-4ff9-b0cf-d6f621a8663e · outbound

This paper cites Uncertainty-aware trajectory prediction via rule- regularized heteroscedastic deep classiﬁcation,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Uncertainty-aware trajectory prediction via rule- regularized heteroscedastic deep classiﬁcation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.033791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9d977ff-fb06-411d-91a3-7b706776c0b9 · outbound

This paper cites Cautious pla nning with incremental symbolic perception: Designing veriﬁed react ive driving maneuvers,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Cautious pla nning with incremental symbolic perception: Designing veriﬁed react ive driving maneuvers,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.024838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48915894-77e1-4429-87be-8502e6c40f72 · outbound

This paper cites V ehicle trajectory prediction using generative adversa rial network with temporal logic syntax tree features,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey V ehicle trajectory prediction using generative adversa rial network with temporal logic syntax tree features,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.015646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c47fa578-071c-4baf-b162-46cc300da84f · outbound

This paper cites Driving in Real Life with Inverse Reinforcement Learning.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Driving in Real Life with Inverse Reinforcement Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:44:01.890488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96702aa8-4074-4adc-8b77-d869295924ec · outbound

This paper cites Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:02.006920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81f160e3-6730-4d82-af7d-d98fb6660edd · outbound

This paper cites RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:44:01.875793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17abb82d-f2f8-4508-9b35-d408433d2739 · outbound

This paper cites Diverse controllable diffusion pol icy with signal temporal logic,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Diverse controllable diffusion pol icy with signal temporal logic,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:01.997919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aad8f223-0d9f-46ff-b237-e6d3f7e0ee68 · outbound

This paper cites Cobl-diffusion: Diffusion-ba sed conditional robot planning in dynamic environments using control barri er and lya- punov functions,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Cobl-diffusion: Diffusion-ba sed conditional robot planning in dynamic environments using control barri er and lya- punov functions,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:01.988649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe20b7cd-b098-4594-acc2-09f24dd3b5d6 · outbound

This paper cites Legal Compliance Checking of A u- tonomous Driving with Formalized Trafﬁc Rule Exceptions,.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Legal Compliance Checking of A u- tonomous Driving with Formalized Trafﬁc Rule Exceptions,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:44:01.979642Z

Source-reported events for the cited work

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