Single Shot Multibox Detector on Caltech pedestrian dataset
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Updated
May 28, 2017 - C++
Single Shot Multibox Detector on Caltech pedestrian dataset
Standalone openvino pedestrian tracking demo project,
Implementation of an Extended Kalman Filter (EKF) algorithm in C++ to track and predict a bicycle's position and velocity around a vehicle.
Real Time Driver Assistance System For Pedestrian Safety In Automobiles Using Raspberry pi
Real-time people tracking using a 3D LIDAR
C++ refinement of PedestrianCounter.
Implementation using only LASER (LIDAR) measurements to predict a pedestrian
This repository is related to an autonomous car drive project.
Traffic lights simulation with detection and reduction of pedestrian waiting time in traffic light
Kalman Filter for a simple 1D motion case
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