A Multi-Sensor Acquisition Architecture and Real-Time Reference for Sensor and Fusion Methods Benchmarking

Kais, Mikael; Millescamps, D.; Betaille, David; Lusetti, Benoît; Chapelon, A.

doi:10.1109/ivs.2006.1689664

Cited by 14 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Timing aspects are crucial in a multiple‐sensor scenario, since each datum needs to be correctly synchronized to the other. Using a software‐based application for time‐stamping external information induces a temporal imprecision, which can be due to the offset of the PC clock with respect to a reference time and to the drift of the internal clock (frequency error) . Spatial consistency is also required when dealing with different sensors information; spatial transformations between reference systems are obtained with calibration procedures .…”

Section: Introductionmentioning

confidence: 99%

Modular multiple sensors information management for computer‐integrated surgery

Vaccarella

Enquobahrie

Ferrigno

et al. 2012

Robotics Computer Surgery

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Modular multiple sensors information management for computer‐integrated surgery

Vaccarella

Enquobahrie

Ferrigno

et al. 2012

Robotics Computer Surgery

View full text Add to dashboard Cite

show abstract

“…[1]). In [2] a special parallel hardware device is used to timestamp sensor data with GPS accuracy. But as mentioned earlier, this approach cannot be applied to all sensors.…”

Section: Introductionmentioning

confidence: 99%

Precise timestamping and temporal synchronization in multi-sensor fusion

Huck

Westenberger

Fritzsche

et al. 2011

2011 IEEE Intelligent Vehicles Symposium (IV)

View full text Add to dashboard Cite

This paper presents a new approach to exact timestamping of asynchronous measurements in a multi-sensor setup. In order to improve the performance of a single sensor, driver assistance systems use several different sensors which have different latencies that usually cannot be measured directly. These unknown latencies pose a problem in data association and temporal synchronization. Consequently, a method to estimate or incorporate the latencies is needed in all sensor fusion algorithms in order to derive the real time of a measurement. In this paper a method is described to compensate the sensor latencies even if they cannot be observed directly.

show abstract

“…In [5] a method including UTC timestamps is proposed, but still only the arrival time at an acquisition system is used. In [6] a parallel hardware device is used to timestamp the measurements directly with GPS accuracy, but this method cannot be applied to all sensors. In [7] a method to filter the timestamps and minimize the sensor latencies is proposed.…”

Section: Introductionmentioning

confidence: 99%

Temporal synchronization in multi-sensor fusion for future driver assistance systems

Westenberger

Huck

Fritzsche

et al. 2011

2011 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication

View full text Add to dashboard Cite

A new approach to precise timestamping and temporal synchronization in a multi-sensor setup is presented. Modern driver assistance systems use an increasing amount of different sensors that do not provide the exact timestamps of the measurements, nor the period of time between two measurements. This paper describes a method to determine these timestamps up to millisecond accuracy. Possible drifts of the internal sensor clocks are taken into account. In addition, a frequent problem are lost measurements that lead to large errors in the timestamping. These framedrops are detected reliably and handled adequately via the method at hand. Finally a method to evaluate the performance of the whole timestamping procedure is described and real-world results are presented.

show abstract

A Multi-Sensor Acquisition Architecture and Real-Time Reference for Sensor and Fusion Methods Benchmarking

Cited by 14 publications

References 1 publication

Modular multiple sensors information management for computer‐integrated surgery

Modular multiple sensors information management for computer‐integrated surgery

Precise timestamping and temporal synchronization in multi-sensor fusion

Temporal synchronization in multi-sensor fusion for future driver assistance systems

Contact Info

Product

Resources

About