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Autonomous Driving Systems: From Collision Avoidance to Advanced Vehicle-Pedestrian Interaction

https://doi.org/10.2139/ssrn.5178950
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1 of the 109 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1155/2021/5410049 (notice 2023-12-13).

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aisy.202300575openalex-snapshot
Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles
inferredcites →https://doi.org/10.1007/978-3-030-45718-1_4openalex-snapshot
Investigating the Role of Pedestrian Groups in Shared Spaces through Simulation Modeling
inferredcites →https://doi.org/10.1007/978-3-030-66888-4_2openalex-snapshot
Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?
inferredcites →https://doi.org/10.1007/978-3-319-60441-1_101openalex-snapshot
The Right Moment for Braking as Informal Communication Signal Between Automated Vehicles and Pedestrians in Crossing Situations
inferredcites →https://doi.org/10.1007/s10514-018-9746-1openalex-snapshot
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state
inferredcites →https://doi.org/10.1007/s10676-021-09609-8openalex-snapshot
The European Commission report on ethics of connected and automated vehicles and the future of ethics of transportation
inferredcites →https://doi.org/10.1007/s12555-019-0757-2openalex-snapshot
Experimental Verification of a Drift Controller for Autonomous Vehicle Tracking: a Circular Trajectory Using LQR Method
inferredcites →https://doi.org/10.1007/s41870-023-01412-6openalex-snapshot
Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance
inferredcites →https://doi.org/10.1016/0001-4575(87)90020-0openalex-snapshot
Training children in road crossing skills using a roadside simulation
inferredcites →https://doi.org/10.1016/0005-1098(94)90159-7openalex-snapshot
State-space interpretation of model predictive control
inferredcites →https://doi.org/10.1016/0378-4754(85)90027-8openalex-snapshot
A micro-simulation model for pedestrian flows
inferredcites →https://doi.org/10.1016/j.aap.2005.04.017openalex-snapshot
Crossing roads safely: An experimental study of age differences in gap selection by pedestrians
inferredcites →https://doi.org/10.1016/j.aap.2006.07.003openalex-snapshot
The effect of age, gender and driver status on pedestrians’ intentions to cross the road in risky situations
inferredcites →https://doi.org/10.1016/j.aap.2007.04.005openalex-snapshot
Mobile telephones, distracted attention, and pedestrian safety
inferredcites →https://doi.org/10.1016/j.aap.2011.04.012openalex-snapshot
Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads
inferredcites →https://doi.org/10.1016/j.aap.2011.05.005openalex-snapshot
Pedestrians’ crossing behaviors and safety at unmarked roadway in China
inferredcites →https://doi.org/10.1016/j.aap.2016.04.014openalex-snapshot
A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks
inferredcites →https://doi.org/10.1016/j.aap.2021.106355openalex-snapshot
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
inferredcites →https://doi.org/10.1016/j.apergo.2018.11.002openalex-snapshot
An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?
inferredcites →https://doi.org/10.1016/j.conengprac.2016.09.006openalex-snapshot
Velocity profile optimization of on road vehicles: Pontryagin's Maximum Principle based approach
inferredcites →https://doi.org/10.1016/j.conengprac.2021.104758openalex-snapshot
An integrated MPC and deep reinforcement learning approach to trams-priority active signal control
inferredcites →https://doi.org/10.1016/j.energy.2023.128517openalex-snapshot
Overcoming driving challenges in complex urban traffic: A multi-objective eco-driving strategy via safety model based reinforcement learning
inferredcites →https://doi.org/10.1016/j.engappai.2023.105878openalex-snapshot
Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions
inferredcites →https://doi.org/10.1016/j.jsr.2014.03.008openalex-snapshot
Crossing a two-way street: comparison of young and old pedestrians
inferredcites →https://doi.org/10.1016/j.neucom.2023.127097openalex-snapshot
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
inferredcites →https://doi.org/10.1016/j.ssci.2015.01.018openalex-snapshot
A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing
inferredcites →https://doi.org/10.1016/j.ssci.2015.09.016openalex-snapshot
Interaction between vehicles and pedestrians at uncontrolled mid-block crosswalks
inferredcites →https://doi.org/10.1016/j.ssci.2018.12.009openalex-snapshot
Evaluation of pedestrian safety margin at mid-block crosswalks in India
inferredcites →https://doi.org/10.1016/j.trc.2014.10.012openalex-snapshot
Modelling shared space users via rule-based social force model
inferredcites →https://doi.org/10.1016/j.trc.2018.10.024openalex-snapshot
Human-like autonomous car-following model with deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.trc.2020.102662openalex-snapshot
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
inferredcites →https://doi.org/10.1016/j.trf.2005.08.006openalex-snapshot
Application of microscopic pedestrian simulation model
inferredcites →https://doi.org/10.1016/j.trf.2009.02.003openalex-snapshot
Pedestrians at the kerb – Recognising the action intentions of humans
inferredcites →https://doi.org/10.1016/j.trf.2015.02.002openalex-snapshot
The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environment
inferredcites →https://doi.org/10.1016/j.trf.2019.03.006openalex-snapshot
Deceleration parameters and their applicability as informal communication signal between pedestrians and automated vehicles
inferredcites →https://doi.org/10.1016/j.trf.2023.01.001openalex-snapshot
Is there a relationship between time pressure and pedestrian non-compliance? A systematic review
inferredcites →https://doi.org/10.1016/j.trf.2023.10.027openalex-snapshot
Factors influencing the user behaviour of shared autonomous vehicles (SAVs): A systematic literature review
inferredcites →https://doi.org/10.1016/j.trip.2021.100425openalex-snapshot
Deep reinforcement learning in transportation research: A review
inferredcites →https://doi.org/10.1016/j.trpro.2015.09.081openalex-snapshot
Modeling of Shared Space with Multi-modal Traffic using a Multi-layer Social Force Approach
inferredcites →https://doi.org/10.1016/j.trpro.2017.05.144openalex-snapshot
A multi-layer social force approach to model interactions in shared spaces using collision prediction
inferredcites →https://doi.org/10.1016/s0378-4371(01)00141-8openalex-snapshot
Simulation of pedestrian dynamics using a two-dimensional cellular automaton
inferredcites →https://doi.org/10.1016/s1369-8478(00)00004-8openalex-snapshot
Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings
inferredcites →https://doi.org/10.1049/ipr2.12954openalex-snapshot
A pedestrian trajectory prediction method based on improved LSTM network
inferredcites →https://doi.org/10.1049/itr2.12453openalex-snapshot
Pedestrian intention estimation and trajectory prediction based on data and knowledge‐driven method
inferredcites →https://doi.org/10.1057/jors.1953.2openalex-snapshot
Pedestrian Choice and Judgment
inferredcites →https://doi.org/10.1080/01441640701365239openalex-snapshot
Behavioural Issues in Pedestrian Speed Choice and Street Crossing Behaviour: A Review
inferredcites →https://doi.org/10.1080/10447318.2023.2286089openalex-snapshot
Factors Affecting Autonomous Vehicles Adoption: A Systematic Review, Proposed Framework, and Future Roadmap
inferredcites →https://doi.org/10.1080/23249935.2022.2061081openalex-snapshot
Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning
inferredcites →https://doi.org/10.1109/access.2019.2944894openalex-snapshot
Path Tracking Control for Autonomous Vehicles Based on an Improved MPC
inferredcites →https://doi.org/10.1109/cvidl62147.2024.10603976openalex-snapshot
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/icarcv50220.2020.9305435openalex-snapshot
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network
inferredcites →https://doi.org/10.1109/icra57147.2024.10610614openalex-snapshot
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.1109/ictis54573.2021.9798511openalex-snapshot
An Improved Social Force Model Considering View Angle for Microscopic Pedestrian Simulation
inferredcites →https://doi.org/10.1109/icves.2015.7396904openalex-snapshot
Probability estimation for pedestrian crossing intention at signalized crosswalks
inferredcites →https://doi.org/10.1109/itsc.2012.6338797openalex-snapshot
Early detection of the Pedestrian's intention to cross the street
inferredcites →https://doi.org/10.1109/itsc.2015.37openalex-snapshot
A Controlled Interactive Multiple Model Filter for Combined Pedestrian Intention Recognition and Path Prediction
inferredcites →https://doi.org/10.1109/itsc.2016.7795912openalex-snapshot
Comparison and evaluation of pedestrian motion models for vehicle safety systems
inferredcites →https://doi.org/10.1109/itsc.2016.7795975openalex-snapshot
A data-driven approach for pedestrian intention estimation
inferredcites →https://doi.org/10.1109/itsc.2018.8569687openalex-snapshot
Modeling Interactions of Multimodal Road Users in Shared Spaces
inferredcites →https://doi.org/10.1109/itsc.2018.8569757openalex-snapshot
Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping
inferredcites →https://doi.org/10.1109/iv47402.2020.9304791openalex-snapshot
Connected and Autonomous Vehicles cooperate with the pedestrian in industrial sites based on trajectory optimization and vehicle signalization system
inferredcites →https://doi.org/10.1109/iv51971.2022.9827451openalex-snapshot
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
inferredcites →https://doi.org/10.1109/ivs.2014.6856505openalex-snapshot
Analysis of pedestrian dynamics from a vehicle perspective
inferredcites →https://doi.org/10.1109/ivs.2018.8500499openalex-snapshot
Social Force Based Microscopic Modeling of Vehicle-Crowd Interaction
inferredcites →https://doi.org/10.1109/jiot.2024.3409174openalex-snapshot
SDAGCN: Sparse Directed Attention Graph Convolutional Network for Spatial Interaction in Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.1109/lra.2018.2852793openalex-snapshot
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians
inferredcites →https://doi.org/10.1109/mits.2017.2743201openalex-snapshot
Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application
inferredcites →https://doi.org/10.1109/robot.2008.4543489openalex-snapshot
Reciprocal Velocity Obstacles for real-time multi-agent navigation
inferredcites →https://doi.org/10.1109/tai.2024.3421175openalex-snapshot
Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.1109/tcsvt.2024.3400391openalex-snapshot
Uncertainty-Aware Pedestrian Crossing Prediction via Reinforcement Learning
inferredcites →https://doi.org/10.1109/tim.2024.3375973openalex-snapshot
Learning Autoencoder Diffusion Models of Pedestrian Group Relationships for Multimodal Trajectory Prediction
inferredcites →https://doi.org/10.1109/tip.2024.3445734openalex-snapshot
Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention
inferredcites →https://doi.org/10.1109/tits.2018.2836957openalex-snapshot
Negotiation Between Vehicles and Pedestrians for the Right of Way at Intersections
inferredcites →https://doi.org/10.1109/tits.2019.2901817openalex-snapshot
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
inferredcites →https://doi.org/10.1109/tits.2021.3074522openalex-snapshot
Pedestrian-Aware Statistical Risk Assessment
inferredcites →https://doi.org/10.1109/tits.2021.3127217openalex-snapshot
Human–Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities
inferredcites →https://doi.org/10.1109/tits.2022.3165881openalex-snapshot
Evaluating the Understandability of Light Patterns and Pictograms for Autonomous Vehicle-to-Pedestrian Communication Functions
inferredcites →https://doi.org/10.1109/tiv.2016.2571067openalex-snapshot
Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles
inferredcites →https://doi.org/10.1109/tiv.2017.2788193openalex-snapshot
Understanding Pedestrian Behavior in Complex Traffic Scenes
inferredcites →https://doi.org/10.1109/tiv.2024.3399327openalex-snapshot
Summary and Reflections on Pedestrian Trajectory Prediction in the Field of Autonomous Driving
inferredcites →https://doi.org/10.1109/tsmc.2023.3241337openalex-snapshot
A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance
inferredcites →https://doi.org/10.1109/tvcg.2019.2946769openalex-snapshot
Heter-Sim: Heterogeneous Multi-Agent Systems Simulation by Interactive Data-Driven Optimization
inferredcites →https://doi.org/10.1109/tvt.2021.3054312openalex-snapshot
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
inferredcites →https://doi.org/10.1109/tvt.2024.3356658openalex-snapshot
Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data- Driven Approach
inferredcites →https://doi.org/10.1111/j.1467-8659.2007.01089.xopenalex-snapshot
Crowds by Example
inferredcites →https://doi.org/10.1136/injuryprev-2012-040601openalex-snapshot
Impact of social and technological distraction on pedestrian crossing behaviour: an observational study
inferredcites →https://doi.org/10.1142/s0129183119500256openalex-snapshot
Game theory modeling for vehicle–pedestrian interactions and simulation based on cellular automata
inferredcites →https://doi.org/10.1145/3122986.3122988openalex-snapshot
First Step into Visceral Interaction with Autonomous Vehicles
inferredcites →https://doi.org/10.1145/3173574.3174003openalex-snapshot
Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction
inferredcites →https://doi.org/10.1145/3373646openalex-snapshot
A Social Force Based Pedestrian Motion Model Considering Multi-Pedestrian Interaction with a Vehicle
inferredcites →https://doi.org/10.1145/3473682.3481878openalex-snapshot
Mixed Reality Environment for Testing Automated Vehicle and Pedestrian Interaction
inferredcites →https://doi.org/10.1155/2021/5410049openalex-snapshot
[Retracted] A Review of Intelligent Driving Pedestrian Detection Based on Deep Learning
inferredcites →https://doi.org/10.1177/0739456x16675674openalex-snapshot
Pedestrians, Autonomous Vehicles, and Cities
inferredcites →https://doi.org/10.1371/journal.pone.0282915openalex-snapshot
Psychological factors affecting potential users’ intention to use autonomous vehicles
inferredcites →https://doi.org/10.1542/peds.44.5.832openalex-snapshot
AN EXPERIMENTAL METHODOLOGY FOR ANALYSIS OF CHILD PEDESTRIAN BEHAVIOR
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016120openalex-snapshot
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
inferredcites →https://doi.org/10.1609/aaai.v38i5.28301openalex-snapshot
A Unified Environmental Network for Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.1631/fitee.2200128openalex-snapshot
Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning
inferredcites →https://doi.org/10.2139/ssrn.4525459openalex-snapshot
Predicting Pedestrian Trajectories at Different Densities: A Multicriteria Empirical Analysis
inferredcites →https://doi.org/10.2190/4xne-wcbc-g9ty-ngygopenalex-snapshot
Precautionary Street Crossing by Elderly Pedestrians
inferredcites →https://doi.org/10.3141/1644-04openalex-snapshot
Emergent Fundamental Pedestrian Flows from Cellular Automata Microsimulation
inferredcites →https://doi.org/10.3141/1705-04openalex-snapshot
Analysis of Pedestrian Gait and Perception-Reaction at Signal-Controlled Crosswalk Intersections
inferredcites →https://doi.org/10.3141/2588-05openalex-snapshot
Calibration and Validation of a Shared Space Model: Case Study
inferredcites →https://doi.org/10.3233/ia-170110openalex-snapshot
A simulation model for non-signalized pedestrian crosswalks based on evidence from on field observation
inferredcites →https://doi.org/10.3390/app13063499openalex-snapshot
Human and Environmental Factors Analysis in Traffic Using Agent-Based Simulation
inferredcites →https://doi.org/10.3390/su16114813openalex-snapshot
Pedestrian Walking Speed Analysis: A Systematic Review
inferredcites →https://doi.org/10.48550/arxiv.1702.02302openalex-snapshot
Autonomous Braking System via Deep Reinforcement Learning
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