On the public citation graph
Human-like behavior generation for intelligent vehicles in urban environment based on a hybrid potential map
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/cvpr.2005.56openalex-snapshot
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
inferredcites →https://doi.org/10.1109/cvpr.2016.255openalex-snapshot
End-to-End People Detection in Crowded Scenes
inferredcites →https://doi.org/10.1109/ivs.2008.4621145openalex-snapshot
Probabilistic approach for modeling and identifying driving situations
inferredcites →https://doi.org/10.1109/ivs.2011.5940468openalex-snapshot
Object-oriented Bayesian networks for detection of lane change maneuvers
inferredcites →https://doi.org/10.1109/ivs.2012.6232277openalex-snapshot
Probabilistic trajectory prediction with Gaussian mixture models
inferredcites →https://doi.org/10.1109/ivs.2016.7535466openalex-snapshot
Human-like planning of swerve maneuvers for autonomous vehicles
inferredcites →https://doi.org/10.1109/ivs.2016.7535548openalex-snapshot
Learning-based trajectory generation for intelligent vehicles in urban environment
inferredcites →https://doi.org/10.1109/robot.2008.4543783openalex-snapshot
Artificial potential functions for highway driving with collision avoidance
inferredcites →https://doi.org/10.1109/tits.2014.2368980openalex-snapshot
A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding
inferredcites →https://doi.org/10.1109/tits.2016.2521819openalex-snapshot
A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118030openalex-snapshot
Smart streetlight framework for collision prediction of vehicles
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104899openalex-snapshot
Scenario-level knowledge transfer for motion planning of autonomous driving via successor representation
inferred← citeshttps://doi.org/10.1016/j.trf.2023.01.014openalex-snapshot
Predicting perceived risk of traffic scenes using computer vision
inferred← citeshttps://doi.org/10.1049/iet-its.2020.0297openalex-snapshot
2‐dimensional human‐like driver model for autonomous vehicles in mixed traffic
inferred← citeshttps://doi.org/10.1049/itr2.12088openalex-snapshot
A review on key challenges in intelligent vehicles: Safety and driver‐oriented features
inferred← citeshttps://doi.org/10.1109/access.2019.2912067openalex-snapshot
Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map
inferred← citeshttps://doi.org/10.1109/icra.2019.8794010openalex-snapshot
A Predictive Reward Function for Human-Like Driving Based on a Transition Model of Surrounding Environment
inferred← citeshttps://doi.org/10.1109/iv47402.2020.9304763openalex-snapshot
An Efficient Sampling-Based Hybrid A* Algorithm for Intelligent Vehicles
inferred← citeshttps://doi.org/10.1109/ivs.2018.8500439openalex-snapshot
Toward Human-like Behavior Generation in Urban Environment Based on Markov Decision Process With Hybrid Potential Maps
inferred← citeshttps://doi.org/10.1109/tiv.2022.3185303openalex-snapshot
End-to-End Autonomous Driving With Semantic Depth Cloud Mapping and Multi-Agent
inferred← citeshttps://doi.org/10.1177/09544070251350874openalex-snapshot
Human-like decision making for automated vehicles using driving style-guided inverse reinforcement learning method
inferred← citeshttps://doi.org/10.3390/app15020802openalex-snapshot
Effects of Anthropomorphic Driving Vehicles on Traffic Flow
inferred← citeshttps://doi.org/10.3390/s20082259openalex-snapshot
Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic
inferred← citeshttps://doi.org/10.3390/s22124500openalex-snapshot
Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning
inferred← citeshttps://doi.org/10.4271/12-01-02-0004openalex-snapshot
Theory of Collision Avoidance Capability in Automated Driving Technologies
inferred← citeshttps://doi.org/10.4271/2018-01-0044openalex-snapshot
Theory of Collision Avoidance Capability in Automated Driving Technologies
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