Perception-Driven Path Planning Strategies for Safe Autonomous Vehicles
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V7I1P151Keywords:
Autonomous Vehicles, Perception, Path Planning, Sensor Fusion, Deep Learning, Trajectory OptimizationAbstract
Autonomous Vehicles (AVs) integrate advanced perception and path planning systems to navigate complex environments safely. This paper presents a comprehensive review of sensor-based perception, collaborative awareness, and trajectory optimization strategies. Key challenges such as dynamic obstacle handling, real-time computation, and reliability are discussed. The integration of deep learning models from recent research enhances perception accuracy and path planning efficiency. Future directions focus on multi-agent cooperative perception and AI-driven predictive planning for safer and more efficient autonomous navigation.
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