Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends. [PDF]
Sensors (Basel)Viktor P, Kiss G.
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Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges. [PDF]
Sensors (Basel)Viktor P, Kiss G.
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Robust 3D Multi-Object Tracking via 4D mmWave Radar-Camera Fusion and Disparity-Domain Depth Recovery. [PDF]
Sensors (Basel)Xie Y +6 more
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From Concrete to Code: A Survey of AI-Driven Transportation Infrastructure, Security, and Human Interaction. [PDF]
Sensors (Basel)Kose NA, Kose K, Liang F.
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LiDAR-Free 3D Auto-Labeling via Radar-Visual Spatio-Temporal Consistency. [PDF]
Sensors (Basel)Zhu B, Hu Z, Lu Z.
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Precipitation-aware sensor ecosystem modelling for performance-driven autonomous vehicle navigation. [PDF]
Sci RepKalra S, Beniwal R, Beniwal NS, Singh M.
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DriveEmo-FL: in-cabin radar-based emotion sensing for autonomous vehicles smart response. [PDF]
Sci RepImran N +5 more
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Influence of Traffic Input Data Quality on Road Noise Estimates Using the CNOSSOS-EU Method. [PDF]
Sensors (Basel)Ascari E +7 more
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Real-time eco-driving strategy for intelligent connected vehicles under mixed traffic environments. [PDF]
iScienceFan L, Cai Y, Zhou B, Wei H, Feng B.
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, 2018 This thesis covers the development of an imaging radar capable of detecting hidden obstacles for terrain mapping for use on an autonomous off-road vehicle. Off-road environments pose several challenges for autonomous vehicles. This thesis focuses on one such problem; obstacles hidden in vegetation.
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