SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance
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DOI: 10.1109/tits.2020.3033276
Abstract: Driving risk evaluation is a critical issue in driving safety analysis. In traditional driving risk evaluation models, vehicles are analyzed as isolated units. Nevertheless, vehicles are surrounded by other vehicles during driving in a real… read more here.
Keywords: surrounding vehicles; risk evaluation; risk; driving risk ... See more keywords
Surrounding Vehicles’ Lane Change Maneuver Prediction and Detection for Intelligent Vehicles: A Comprehensive Review
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DOI: 10.1109/tits.2021.3076164
Abstract: Identifying and evaluating the potential risks in the surrounding environment is critical for intelligent vehicles’ safety and user experience. This paper provides a comprehensive overview of the state-of-the-art research on the surrounding vehicles’ lane change… read more here.
Keywords: surrounding vehicles; change; change maneuver; lane change ... See more keywords
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3160630
Abstract: Accurate trajectory prediction of surrounding vehicles is vital for automated vehicles to achieve high-level driving safety in complex situations. However, most state-of-the-art approaches for multi-vehicle trajectory prediction ignore vehicle motion uncertainty caused by different driving… read more here.
Keywords: surrounding vehicles; vehicle; driving risk; trajectory ... See more keywords
Structural Transformer Improves Speed-Accuracy Trade-Off in Interactive Trajectory Prediction of Multiple Surrounding Vehicles
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DOI: 10.1109/tits.2022.3193665
Abstract: Fast and accurate long-term trajectory prediction of surrounding vehicles (SVs) is critical to autonomous driving systems. In high-density traffic flows, strongly correlated vehicle behaviors require considering the interactions among multiple SVs when predicting their future… read more here.
Keywords: surrounding vehicles; interactive trajectory; multiple svs; prediction ... See more keywords
Moving Horizon Estimation With Variable Structure Interacting Multiple Model for Surrounding Vehicle States in Complex Environments
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DOI: 10.1109/tits.2024.3467042
Abstract: Motion prediction of surrounding vehicles in complex environments is essential for autonomous vehicle trajectory planning. Accurate motion prediction requires accurately estimating the state information of the surrounding vehicles. For this purpose, a moving horizon estimation… read more here.
Keywords: moving horizon; surrounding vehicles; estimation; model ... See more keywords
A Human-Like Model to Understand Surrounding Vehicles’ Lane Changing Intentions for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3073407
Abstract: Autonomous vehicles have to share the road with human-driven ones for a prolonged period in the near future. Thus, they should have the ability to understand the lane changing intentions of surrounding human-driven vehicles. Unlike… read more here.
Keywords: human like; lane; changing intentions; model ... See more keywords