Review of Environment Perception for Intelligent Vehicles

Authors

  • N.Dhamanam P.G Student, Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, INDIA
  • Dr. M.Kathirvelu Professor, Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, INDIA
  • T. GovindaRao Assistant Professor, Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, INDIA

DOI:

https://doi.org/10.31033/ijemr.9.2.02

Keywords:

Intelligent Vehicles, Environment Perception and Modeling, Lane and Road Detection, Traffic Sign Recognition, Active Safety, Computer Vision, Driver Assistance

Abstract

Overview of environment perception for intelligent vehicles supposes to the state-of-the-art algorithms and modeling methods are given, with a summary of their pros and cons. A special attention is paid to methods for lane and road detection, traffic sign recognition, vehicle tracking, behavior analysis, and scene understanding. Integrated lane and vehicle tracking for driver assistance system that improves on the performance of both lane tracking and vehicle tracking modules. Without specific hardware and software optimizations, the fully implemented system runs at near-real-time speeds of 11 frames per second. On-road vision-based vehicle detection, tracking, and behavior understanding. Vision based vehicle detection in the context of sensor-based on-road surround analysis. We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor–vision fusion for on-road vehicle detection. The traffic sign detection detailing detection systems for traffic sign recognition (TSR) for driver assistance. Inherently in traffic sign detection to the various stages: segmentation, feature extraction, and final sign detection.

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Published

2019-04-30

How to Cite

N.Dhamanam, Dr. M.Kathirvelu, & T. GovindaRao. (2019). Review of Environment Perception for Intelligent Vehicles. International Journal of Engineering and Management Research, 9(2), 13–17. https://doi.org/10.31033/ijemr.9.2.02

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Section

Articles