State of the Art of Adaptive Cruise Control and Stop and Go Systems

Kural, Emre; Hacibekir, Tahsin; Aksun‐Güvenç, Bilin

doi:10.48550/arxiv.2012.12438

Cited by 1 publication

(2 citation statements)

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“…Regarding the requirements of the Radar-based ACC system, the studies showed that long-range radar must detect objects of different sizes, up to enough spaces ahead (200 m), with a minimum angle of detection ±8° [38]. There is also a shorter range of radar considered: a (40 m) detection distance and an angle of ±16 [39]. It is very important to perform a suitable alignment for radar sensors on the vehicles in such a way that ascertains successful object detection, even in curved roadways.…”

Section: Radar-based Accmentioning

confidence: 99%

“…They can be categorized in to two types: multi-beam, which consists of an array of transmitting and receiving sections, and scanning lidar, which uses one transmitter and receiver with a mechanically scanned lens system [41]. The most important advantage of the laser beams is their ability in multi-tracking [39]. Researchers demonstrated that Lidar sensors can provide a detection distance range up to 170 m and a horizontal detection angle of 170°w ith a clear resolution and identification to objects and obstacles [42].…”

Section: Lidar-based Accmentioning

confidence: 99%

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Comparative Analysis of Following Distances in Different Adaptive Cruise Control Systems at Steady Speeds

Mohammed,

Horváth

2024

WEVJ

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Adaptive Cruise Control (ACC) systems have emerged as a significant advancement in automotive technology, promising safer and more efficient driving experiences. However, the performance of ACC systems can vary significantly depending on their type and underlying algorithms. This research presents a comprehensive comparative analysis of car-following distances in different types of Adaptive Cruise Control systems. We evaluate and compare three distinct categories of ACC systems using three different commercial vehicles brands. The study involves extensive real-world testing at Zalazone Proving Ground, to assess the performance of these systems under various driving conditions, including driving at multiple speeds and applying different car following scenarios. The study investigates how each ACC system manages the minimum following distances according to the type of ACC sensors in each tested vehicle. Our findings revealed that at low to medium ranges of constant driving speeds, there was an approximate linear increase in the average clearances between the two following vehicles for all applied scenarios, with comparatively shorter clearances obtained by the vision-based ACC system, while unstable measurements with a high level of dispersion for all ACC systems were observed at high range of driving speeds.

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Section: Radar-based Accmentioning

confidence: 99%