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A novel intention prediction neural network for predicting pedestrian crossing behavior in Indian roads
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DOI：10.1016/j.ijtst.2025.10.015.png)
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Abstract
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• Proposed IPNN combines detection, pose, and kinematics for intent prediction. • Introduced 240-clip dataset from real Indian urban traffic conditions. • Validated IPNN on Indian and JAAD datasets with strong performance shown.
Keywords:
Pedestrian intention prediction
Autonomous vehicles
Advanced driver assistance systems (ADAS)
Indian traffic
Urban environments
Hybrid approach
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