Traffic Light Signal System Using Radar-Based Target Detection and Tracking | Zendy

Manish Munjal | Zendy; Amit Grewal | Zendy; Karan Gogna | Zendy

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Traffic Light Signal System Using Radar-Based Target Detection and Tracking

Author(s) -

Manish Munjal,

Amit Grewal,

Karan Gogna

Publication year - 2014

Publication title -

journal of advance research in electrical and electronics engineering (issn 2208-2395)

Language(s) - English

Resource type - Journals

ISSN - 2208-2395

DOI - 10.53555/nneee.v1i3.246

Subject(s) - intersection (aeronautics) , radar , computer science , computer vision , echo (communications protocol) , object detection , fire control radar , object (grammar) , signal (programming language) , traffic signal , artificial intelligence , tracking system , radar tracker , tracking (education) , range (aeronautics) , video tracking , real time computing , continuous wave radar , radar imaging , engineering , telecommunications , aerospace engineering , psychology , computer network , pedagogy , filter (signal processing) , segmentation , programming language

A novel system and method of integrating an RF emissions device, such as aradar system (103A), within a traffic control indicator (101) system. The system and method determines, using LFM-CW radar signals (201) and a multistage spectral processing algorithm (600), if one or more object/vehicle targets will enter an intersection and comprises receiving a radar echo response (203) indicating the object/vehicle target (104) is approaching the intersection, receiving range and velocity of the object/vehicle targets (104), and based on the receiving, determining if the object/vehicle target (104) will enter the intersection. The system and method can programmatically be configured to activate red-light-hold, green-light-extension, or left-turnwarning.

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