Vehicle detection for autonomous parking using a Soft-Cascade AdaBoost classifier

Broggi, Alberto; Cardarelli, Elena; Cattani, Silvia; Medici, Paolo; Sabbatelli, Mario

doi:10.1109/ivs.2014.6856490

Cited by 40 publications

(21 citation statements)

References 21 publications

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“…In addition to its ease of implementation, AdaBoost is advantageous in that its inner workings are relatively transparent and interpretable. Also, AdaBoost has proved useful in a number of automation-related studies, such as Fan et al and Broggi et al 24,25…”

Section: Bug Detector Implementationmentioning

confidence: 99%

Applying sensor integrity concepts to detect intermittent bugs in aviation software

2019

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This paper assesses potential benefits of online integrity monitoring for aviation software. Today, aviation software safety is assessed entirely via verification and validation conducted before deployment, largely through exhaustive testing. Although software anomalies (or bugs) do occur, system fault trees do not assign fault probabilities to software components. Moreover, online signal monitoring is not generally applied to detect bugs. As software complexity increases, and as interactions between software and hardware system components become more complex, it is prudent to consider whether exhaustive preservice software testing is sufficient to maintain system safety, and whether safety analyses used for hardware components (eg, fault trees and monitoring) might be applied to software components. The contribution of this paper is to propose an architecture for online bug monitoring and quantify its potential.The proposed concept has significant potential impact for low-cost, autonomous unmanned aircraft systems, where cost drivers prohibit exhaustive preservice verification.

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Section: Bug Detector Implementationmentioning

confidence: 99%

Applying sensor integrity concepts to detect intermittent bugs in aviation software

2019

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“…A soft-cascade Ada boost classifier with Haar features [1] is trained for vehicle recognition and applied to images to provide frontal and rear vehicle detection. The algorithm which is used takes much time to resolve the image as there is noise captured in the images of the camera.…”

Section: Related Workmentioning

confidence: 99%

Quick Routing in Autonomous Vehicles using Boosting Algorithms

D¹,

Vasudevan²

2019

IJEAT

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Self-driving automobiles are understandably the most attention grabbing utility of artificial intelligence. Until recently, we have just considered the prototypes of these cars in Sci-fi movies, with the whole thing else left to our imagination. But with advances in technology, this super notion has acquired a lifestyles of its own. Autonomous vehicle promises to improve traffic safety while at the same time, it must increase the fuel efficiency, reduce congestion and arrive to the destination at a minimum time span. We propose a novel technique to boost the algorithm to take the shortest path while the vehicle is in movement.

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“…AVP related advanced automation techniques allow us to extend its functionalities. Here, Long-range AVP (LAVP) became possible due to advancement in fundamental techniques of AVP, like precise detection [5], path generation [6], [7], [8] lateral control [9], cloud-based distributed Vehicle-to-Everything (V2X) architecture [10] and precise localization [2].…”

Section: Introductionmentioning

confidence: 99%

Towards autonomy: Cost-effective scheduling for long-range autonomous valet parking (LAVP)

Khalid

Cao

Zhang

et al. 2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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Continuous and effective developments in Autonomous Vehicles (AVs) are happening on daily basis. Industries nowadays, are interested in introducing less costly and highly controllable AVs to public. Current so-called AVP solutions are still limited to a very short range (e.g., even only work at the entrance of car parks). This paper proposes a parking scheduling scheme for long-range AVP (LAVP) case, by considering mobility of Autonomous Vehicles (AVs), fuel consumption and journey time. In LAVP, Car Parks (CPs) are used to accommodate increasing numbers of AVs, and placed outside city center, in order to avoid traffic congestions and ensure road safety in public places. Furthermore, with positioning of reference points to guide user-centric long-term driving and drop-off/pick-up passengers, simulation results under the Helsinki city scenario shows the benefits of LAVP. The advantage of LAVP system is also reflected through both analysis and simulation.

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Vehicle detection for autonomous parking using a Soft-Cascade AdaBoost classifier

Cited by 40 publications

References 21 publications

Applying sensor integrity concepts to detect intermittent bugs in aviation software

Applying sensor integrity concepts to detect intermittent bugs in aviation software

Quick Routing in Autonomous Vehicles using Boosting Algorithms

Towards autonomy: Cost-effective scheduling for long-range autonomous valet parking (LAVP)

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