Automotive radar – investigation of mutual interference mechanisms

Goppelt, M.; Blöcher, H.-L.; Menzel, Wolfgang

doi:10.5194/ars-8-55-2010

Cited by 137 publications

(81 citation statements)

References 3 publications

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“…Appropriate countermeasure and mitigation techniques were studied and assessed, and general guidelines and recommendations developed. [3][4][5][6] The ideas for countermeasures were extracted and structured into six basic categories. From the six basic categories, a list of 22 variants was compiled, evaluated and ranked with respect to various criteria for the implementation effort, required power and computational resources, cost, requirement for harmonization, etc.…”

Section: Related Workmentioning

confidence: 99%

Occurrence and characteristics of mutual interference between LIDAR scanners

et al. 2015

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The LIDAR scanner is at the heart of object detection of the self-driving car. Mutual interference between LIDAR scanners has not been regarded as a problem because the percentage of vehicles equipped with LIDAR scanners was very rare. With the growing number of autonomous vehicle equipped with LIDAR scanner operated close to each other at the same time, the LIDAR scanner may receive laser pulses from other LIDAR scanners. In this paper, three types of experiments and their results are shown, according to the arrangement of two LIDAR scanners. We will show the probability that any LIDAR scanner will interfere mutually by considering spatial and temporal overlaps. It will present some typical mutual interference scenario and report an analysis of the interference mechanism.

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Section: Related Workmentioning

confidence: 99%

Occurrence and characteristics of mutual interference between LIDAR scanners

et al. 2015

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“…This effect is especially detrimental to the detection of targets like pedestrians or bicycles with a low radar cross section (RCS). However, it is very unlikely that ghost targets are generated by interferences [2], [3]. Similar interference effects can be shown for chirp sequence radars, cf.…”

Section: Introductionmentioning

confidence: 65%

Interference of chirp sequence radars by OFDM radars at 77 GHz

Knill¹,

Bechter²,

Waldschmidt³

2017

2017 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

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Abstract-Radar sensors are common devices in daily traffic, especially for driver assistance and automotive safety systems. A high sensor density increases the probability of interferences, especially when the sensors occupy a large radar bandwidth. Many current sensors, e.g. chirp sequence radars, rely on frequency modulation schemes. A promising future radar concept applies orthogonal frequency division multiplexing (OFDM). This paper investigates the interference effect of an OFDM radar on a chirp sequence radar. Potential interference levels are derived and the influence of modulation parameters is evaluated with simulations.

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“…In addition to in-vehicle sensor sensitivity to weather conditions [6] and interference [11] some of these algorithms show the necessity for further refinement to better classify threatening and safe situations [10].…”

Section: Related Workmentioning

confidence: 99%

“…1 Definition from Merriam-Webster dictionary Driver assistance applications that are based on in-vehicle sensors, like cameras or radars, are being also researched and designed e.g., [14], and even standardized, e.g., ISO 15623 [5]. In-vehicle sensors have their limitations, e.g., sensitivity to weather conditions [6] and to interference [11]. Furthermore, many of these sensor-based applications rely on the driver to take actions, which makes the effectiveness of these systems highly dependent on the adequate response of the drivers.…”

Section: Introductionmentioning

confidence: 99%

Designing fail-safe and traffic efficient 802.11p-based rear-end collision avoidance

An¹,

Mittag²,

Hartenstein³

2014

2014 IEEE Vehicular Networking Conference (VNC)

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An essential, but nevertheless often neglected, objective for the design of safety-critical IEEE 802.11p-based application is: fail-safety. A fail-safe application is an application that incorporates features that automatically counteract the effect of anticipated sources of failure. In the context of a rear-end collision avoidance application two main possible sources of failure exist: an unpredictable human behavior and unreliable communication. This paper presents mechanisms that, when integrated into the design of rear-end collision avoidance application, counteract these failure cases and thus ensure fail-safety. However, failsafety comes at a cost: either large inter-vehicle distances have to be kept to ensure that all drivers have enough time to react or the application has to take over vehicle control to allow smaller inter-vehicle distances and thus higher traffic efficiency. In this paper we analyze this tradeoff and quantify what part of drivers' population has to be deprived of vehicle control in order to achieve acceptable traffic efficiency when deploying IEEE 802.11p-based rear-end collision avoidance application.

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Automotive radar – investigation of mutual interference mechanisms

Cited by 137 publications

References 3 publications

Occurrence and characteristics of mutual interference between LIDAR scanners

Occurrence and characteristics of mutual interference between LIDAR scanners

Interference of chirp sequence radars by OFDM radars at 77 GHz

Designing fail-safe and traffic efficient 802.11p-based rear-end collision avoidance

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