An internetworked self-driving car system-of-systems

Straub, Jeremy; Amer, Wafaa M.; Ames, Christian; Dayananda, Karanam Ravichandran; Jones, Andrew; Miryala, Goutham; Olson, N H; Rockenback, Noah; Slaby, Franklin; Tipparach, Santipab; Fehringer, Samuel; Jedynak, David; Lou, Haiming; Martin, Dakota; Olberding, M; Oltmanns, Austin; Goenner, Brady; Lee, Jessie; Shipman, Dylan

doi:10.1109/sysose.2017.7994957

Cited by 9 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The architecture of CMMAV is shown in Figure3: CMMAV is composed of one or more CAV, where each CAV has its owners and/or passengers. Assuming an internal architecture similar to the one in [17], each CAV that belongs to the CM-MAV, integrates the Cooperative Lateral Maneuvers Manager (CLMM) module, which is responsible for lateral maneuvers in CMMAV. CMMAV operates in a subject vehicle as the following: it evaluates some conditions to choose the best maneuver based on the situation.…”

Section: B Cooperative Maneuvers Manager For Autonomous Vehiclesmentioning

confidence: 99%

A system of systems framework: Cooperative Maneuvers Manager for Autonomous Vehicles

Assaad

Talj

Charara

2018

2018 13th Annual Conference on System of Systems Engineering (SoSE)

View full text Add to dashboard Cite

Systems of Systems (SoS) are complex systems, in which constituent systems are by themselves independent systems, that cooperate to achieve a common goal. Intelligent Transportation Systems (ITS) are SoS that seek to achieve better transportation experience for users, by using communication between different users of such systems. In this paper, we present the Cooperative Maneuvers Manager for Autonomous Vehicles (CMMAV), a SoS framework that contributes to the ITS by enabling autonomous vehicles to perform complex maneuvers on highways in a cooperative way. We used Systems of Systems Approach to Context-based Requirements Engineering (SoS-ACRE) to model the system.

show abstract

Section: B Cooperative Maneuvers Manager For Autonomous Vehiclesmentioning

confidence: 99%

A system of systems framework: Cooperative Maneuvers Manager for Autonomous Vehicles

Assaad

Talj

Charara

2018

2018 13th Annual Conference on System of Systems Engineering (SoSE)

View full text Add to dashboard Cite

show abstract

“…Systems for vehicle sharing [9,10] and reservations [9] are one component of this interconnectedness. Vehicles can also exchange data about road network conditions, hazards, their current and planned maneuvers, and other topics [11].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Reputation Management Technique for Autonomous Vehicles

Kianersi¹,

Uppalapati²,

Bansal³

et al. 2022

Future Internet

Self Cite

View full text Add to dashboard Cite

Future autonomous vehicles will rely heavily on sharing and communicating information with other vehicles to maximize their efficiency. These interactions, which will likely include details about the positions of surrounding vehicles and obstacles on the road, are essential to their decision-making and the prevention of accidents. However, malicious vehicles—those that intentionally communicate false information—have the capacity to adversely influence other vehicles in the network. This paper presents and evaluates a reputation management system, capable of identifying malicious actors, to mitigate their effects on the vehicle network. The viability of multiple report weighting schemes to calculate reputation is evaluated through a simulation, and a blockchain-based backend for the reputation management system to securely maintain and communicate reputation data is proposed. Storage and computational challenges are considered. This paper shows that weighting schemas, related to the number and reputation of witnesses, positively affect the accuracy of the model and are able to identify malicious vehicles in a network with consistent accuracy and scalability.

show abstract

“…The authors are with Sorbonne universités, Université de technologie de Compiègne, CNRS, Heudiasyc Lab., UMR 7253, Compiègne, France. localisation and decision making, defines a complex system of systems [5].…”

Section: Introductionmentioning

confidence: 99%

Fusion of evidential occupancy grids for cooperative perception

Camarda

Davoine

Cherfaoui

2018

2018 13th Annual Conference on System of Systems Engineering (SoSE)

View full text Add to dashboard Cite

In the field of autonomous navigation, perception of the driving scene is one of the essential elements. Existing solutions combine on-board exteroceptive sensors, and are capable of understanding some of the near vehicle's dynamic surrounding environment. Furthermore, the perception capability of each vehicle can be enhanced by wireless information sharing if vehicles in the neighborhood transmit pertinent information. The primary benefit of such approach is to enable and improve the performance-safety of cooperative autonomous driving. The introduction of such a vehicle-to-vehicle communication leads to think of the global architecture as a system of systems. In this work, we address the task of evidential occupancy grid fusion so that a given vehicle can refine and complete its occupancy grid with the help of grids received from other near vehicles. The communication channel is supposed to be ideal, noiseless with infinite capacity. We focus on the fusion framework itself, using the theory of belief functions for reasoning with uncertainties on the relative poses of the vehicles and on the exchanged sensor measurement data. We evaluate the fusion system with real data acquired on public roads, with two connected vehicles.

show abstract

An internetworked self-driving car system-of-systems

Cited by 9 publications

References 23 publications

A system of systems framework: Cooperative Maneuvers Manager for Autonomous Vehicles

A system of systems framework: Cooperative Maneuvers Manager for Autonomous Vehicles

Evaluation of a Reputation Management Technique for Autonomous Vehicles

Fusion of evidential occupancy grids for cooperative perception

Contact Info

Product

Resources

About