ULTRASONIC BASED HEADING ESTIMATION FOR AIDING LAND VEHICLE NAVIGATION IN GNSS DENIED ENVIRONMENT
- 1. University of Calgary
- 2. Port Said University
Description
Abstract. This paper introduces a novel approach for land vehicles navigation in GNSS denied environment by aiding the Inertial Navigation System (INS) with a very low-cost ultrasonic sensor using Extended Kalman Filter (EKF) to bound its drift during GNSS blockage through a heading change update to enhance the navigation estimation.The ultrasonic sensor is mounted on the body of the car facing the direction of the car motion and behind the front right wheel, a wooden surface is mounted on the car body on the other side of this wheel with a constant distance between the sensor and this surface. The ultrasonic sensor measures this range as long as the car moving straight. When orientation changes, the ultrasonic sensor senses the range to the front right wheel. The relation between the range and the estimated GNSS/INS change of heading during GNSS availability is estimated through a linear regression model. During GNSS signal outage, the ultrasonic sensor provides heading change update to the INS standalone navigation solution.Experimental road tests were performed, and the results show that the navigation states estimation using the proposed aiding is improved compared with INS standalone navigation solution during GNSS signal outage. For multiple GNSS outages of 60 seconds, the inclusion of the proposed update reduced the position RMSE to around 80 % of its value when using the non-holonomic constraints and velocity update only.
Translated Descriptions
Translated Description (Arabic)
الملخص. تقدم هذه الورقة مقاربة جديدة للملاحة البرية للمركبات في بيئة محرومة من GNSS من خلال مساعدة نظام الملاحة بالقصور الذاتي (INS) بمستشعر بالموجات فوق الصوتية منخفض التكلفة للغاية باستخدام مرشح كالمان الممتد (EKF) لربط انحرافه أثناء انسداد GNSS من خلال تحديث تغيير العنوان لتعزيز تقدير الملاحة. يتم تركيب المستشعر بالموجات فوق الصوتية على جسم السيارة المواجه لاتجاه حركة السيارة وخلف العجلة الأمامية اليمنى، ويتم تركيب سطح خشبي على جسم السيارة على الجانب الآخر من هذه العجلة بمسافة ثابتة بين المستشعر وهذا السطح. يقيس المستشعر بالموجات فوق الصوتية هذا النطاق طالما أن السيارة تتحرك بشكل مستقيم. عندما يتغير الاتجاه، يستشعر المستشعر بالموجات فوق الصوتية المدى إلى العجلة الأمامية اليمنى. يتم تقدير العلاقة بين النطاق والتغيير المقدر لعنوان GNSS/INS أثناء توفر GNSS من خلال نموذج الانحدار الخطي. أثناء انقطاع إشارة نظام الملاحة العالمي عبر الأقمار الصناعية، يوفر المستشعر بالموجات فوق الصوتية تحديثًا لتغيير العنوان إلى حل الملاحة المستقل INS. تم إجراء اختبارات طريق تجريبية، وتظهر النتائج أن تقدير حالات الملاحة باستخدام المساعدة المقترحة قد تم تحسينه مقارنة بحل الملاحة المستقل INS أثناء انقطاع إشارة نظام الملاحة العالمي عبر الأقمار الصناعية. بالنسبة لانقطاعات النظام العالمي لسواتل الملاحة المتعددة لمدة 60 ثانية، أدى تضمين التحديث المقترح إلى تقليل موضع RMSE إلى حوالي 80 ٪ من قيمته عند استخدام القيود غير الهيدروليكية وتحديث السرعة فقط.Translated Description (English)
Abstract. This paper introduces a novel approach for land vehicles navigation in GNSS denied environment by aiding the Inertial Navigation System (INS) with a very low-cost ultrasonic sensor using Extended Kalman Filter (EKF) to bound its drift during GNSS blockage through a heading change update to enhance the navigation estimation.The ultrasonic sensor is mounted on the body of the car facing the direction of the car motion and behind the front right wheel, a wooden surface is mounted on the car body on the other side of this wheel with a constant distance between the sensor and this surface. The ultrasonic sensor measures this range as long as the car moving straight. When orientation changes, the ultrasonic sensor senses the range to the front right wheel. The relationship between the range and the estimated GNSS/INS change of heading during GNSS availability is estimated through a linear regression model. During GNSS signal outage, the ultrasonic sensor provides heading change update TO the INS standalone navigation solution.Experimental road tests were performed, and the results show that the navigation states estimation using the proposed aiding is improved compared with INS standalone navigation solution during GNSS signal outage. For multiple GNSS outages of 60 seconds, the inclusion of the proposed update reduced the position RMSE to around 80% of its value when using the non-holonomic constraints and velocity update only.Translated Description (French)
Abstract. This paper introduces a novel approach for land vehicles navigation in GNSS denied environment by aiding the Inertial Navigation System (INS) with a very low-cost ultrasonic sensor using Extended Kalman Filter (EKF) to bound its drift during GNSS blockage through a heading change update to enhance the navigation estimation.The ultrasonic sensor is mounted on the body of the car facing the direction of the car motion and behind the front right wheel, a wooden surface is mounted on the car body on the other side of this wheel with a constant distance between the sensor and this surface. The ultrasonic sensor measures this range as long as the car moving straight. Lors des changements d'orientation, le capteur ultrasonique détecte la plage jusqu'à la roue avant droite. La relation entre la plage et le GNSS estimé/LE changement de tête pendant la disponibilité du GNSS est estimée par un modèle de régression linéaire. During GNSS signal outage, the ultrasonic sensor provides heading change update to the INS standalone navigation solution.Experimental road tests were performed, and the results show that the navigation states estimation using the proposed aiding is improved compared with INS standalone navigation solution during GNSS signal outage. Pour plusieurs jours GNSS de 60 secondes, l'inclusion de la mise à jour proposée réduit la position RMSE à environ 80 % de sa valeur en utilisant uniquement les contraintes non-holonomiques et la mise à jour de la vélocité.Translated Description (Spanish)
Abstract. This paper introduces a novel approach for land vehicles navigation in GNSS denied environment by aiding the Inertial Navigation System (INS) with a very low-cost ultrasonic sensor using Extended Kalman Filter (EKF) to bound its drift during GNSS blockage through a heading change update to enhance the navigation estimation.The ultrasonic sensor is mounted on the body of the car facing the direction of the car motion and behind the front right wheel, a wooden surface is mounted on the car body on the other side of this wheel with a constant distance between the sensor and this surface. The ultrasonic sensor measures this range as long as the car moving straight. When orientation changes, the ultrasonic sensor senses the range to the front right wheel. The relation between the range and the estimated GNSS/in change of heading during GNSS availability is estimated through a linear regression model. During GNSS signal oṁ, the ultrasonic sensor provides heading change update to the INS standalone navigation solution.Experimental road tests were performed, and the results show that the navigation states estimation using the proposed aiding is improved compared with the INS standalone navigation solution during GNSS signal oṁ. For multiple GNSS outages of 60 seconds, the inclusion of the proposed update reduced the position RMSE to around 80% of its value when using the non-holonomic constraints and velocity update only.Files
isprs-archives-XLII-1-315-2018.pdf.pdf
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Additional details
Additional titles
- Translated title (Arabic)
- تقدير العنوان بالموجات فوق الصوتية لمساعدة ملاحة المركبات البرية في بيئة نظام الملاحة العالمي عبر الأقمار الصناعية المرفوضة
- Translated title (English)
- ULTRASONIC BASED HEADING ESTIMATION FOR AIDING LAND VEHICLE NAVIGATION IN GNSS DENIED ENVIRONMENT
- Translated title (French)
- ESTIMATION DE LA TETE A BASE D'ULTRASONS POUR LA NAVIGATION DE VEHICULE TERRESTRE D'AIDE DANS UN ENVIRONNEMENT DÉNUÉ DE GNSS
- Translated title (Spanish)
- ULTRASONIC BASED HEADING ESTIMATION FOR AIDING LAND VEHICLE NAVIGATION IN GNSS DENIED ENVIRONMENT
Identifiers
- Other
- https://openalex.org/W2893247349
- DOI
- 10.5194/isprs-archives-xlii-1-315-2018
References
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