Vehicle Counting with an Embedded Traffic Data System using an Optical Transient Sensor

Abstract

In this paper a sensor system for traffic data acquisition is presented. The embedded system, comprising a motion-sensitive optical sensor and a low-cost, low-power DSP, is capable of detecting, counting and measuring the velocity of passing vehicles. The detection is based on monitoring of the optical sensor output within configurable regions of interest in the sensor's field-of-view. In particular in this work we focus on the evaluation of the applied vehicle counting algorithm. The verification of the acquired data is based on manually annotated traffic data of 360 minutes length, containing a total of about 7000 vehicles. The counting error is determined for short (3 minutes) and long (60 minutes) time intervals. The calculated error of 99,2% of the short time intervals and 100% of the long time intervals analyzed, remain within commonly recognized margins of 10% and 3% of detection error respectively.

Activity-driven, event-based vision sensors

“…[38][39][40][41]) and high speed robotics [42,43]. Eight papers on event based sensing have been accepted to the very competitive IEEE International Solid State Circuits Conference since 2003 (two on auditory sensors [44,45] and six on vision sensors [9,16,27,33,46,47]), showing that this approach is starting to impact mainstream electronics.…”

Event-Based Pixel Sensitive to Changes of Color and Brightness

“…Although the log-intensity change detection capability of the original DVS has already been proven useful in dynamic vision problems [8]- [12], the utility of the color change detection of the cDVS is unexplored. Modeling is needed to understand how this capability could be used.…”

“…An increasing number of event-based optical sensors have been presented since 2003 [1]- [7]. Several publications show that these sensors are useful due to their pixel-parallel preprocessing and asynchronous event output, which reduce latency, reduce the load on subsequent processing stages, and increase dynamic range [8]- [12]. This paper reports on a "color dynamic vision sensor" pixel (cDVS) that simultaneously detects changes in log intensity [1] and changes in wavelength [13].…”

Applications of event‐based image sensors—Review and analysis

“…Only pixels that detect illumination changes send data off‐chip, minimizing the bandwidth and the power consumption. There are specific papers addressing this topic, for instance . Also, DVSs have been used to implement proximity detectors …”