PUBLICATIONS ON CORRIDRONE
CORRIDRONE team have contributed articles aimed at designing corridors for UAV mobility. These articles addressed apsects like geofencing, optimal paths, coridor cross section optimisation, conflict resolution, intersection management, drone compaliance level and more.
CORRIDRONE: Corridors for Drones, An Adaptive On-Demand Multi-Lane Design and Testbed
Published on: 2 Dec 2020
Article DOI: https://doi.org/10.48550/arXiv.2012.01019
Cite Article: Tony, Lima Agnel, Ashwini Ratnoo, and Debasish Ghose. “Corridrone: Corridors for drones, an adaptive on-demand multi-lane design and testbed.” arXiv preprint arXiv:2012.01019 (2020).
Tony, Lima Agnel, Ashwini Ratnoo, and Debasish Ghose. "Corridrone: Corridors for drones, an adaptive on-demand multi-lane design and testbed." arXiv preprint arXiv:2012.01019 (2020).
Abstract: In this article, a novel drone skyway framework called CORRIDRONE is proposed. As the name suggests, this represents virtual air corridors for point-to-point safe passage of multiple drones. The corridors are not permanent but can be set up on demand. A few such scenarios could be those in warehouse/factory floors, package delivery, shore-to-ship delivery, border patrol, etc. Several factors play major roles in the planning and design of such aerial passages. The proposed framework includes many novel features which aid safe and efficient integration of UAVs into the airspace with already available technologies. A several kilometres long test bed is proposed to be set-up at the 1500 acres Challekere campus of Indian Institute of Science, in the state of Karnataka, to design and test the infrastructure required for CORRIDRONE.
Lane Geometry, Compliance Levels, and Adaptive Geo-fencing in CORRIDRONE Architecture for Urban Mobility
Published on: 19 July 2021
Article DOI: https://doi.org/10.1109/ICUAS51884.2021.9476745
Cite Article: Tony, Lima Agnel, Ashwini Ratnoo, and Debasish Ghose. “Lane geometry, compliance levels, and adaptive geo-fencing in CORRIDRONE architecture for urban mobility.” 2021 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2021.
Tony, Lima Agnel, Ashwini Ratnoo, and Debasish Ghose. "Lane geometry, compliance levels, and adaptive geo-fencing in CORRIDRONE architecture for urban mobility." 2021 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2021.
Abstract: Integrating Unmanned Aerial Vehicles (UAVs) into airspace requires a reliable framework which is robust and scalable. CORRIDRONE is one such architecture that generates corridors for point-to-point traversal of drones. This work presents details about its central features like adaptive geo-fencing, drone compliance levels, and corridor geometry. Adaptive geo-fencing guarantees vehicle safety when multiple vehicles of different hardware and software capabilities are sharing the same airspace. Compliance levels, defined based on these capabilities of the UAVs, are an essential measure for determining geo-fence bounds. The lane geometry of CORRIDRONE is designed considering the aerodynamic aspects like downwash, which ensures in-flight stability of the UAVs. These features confirm safe transit of the vehicles and also ensures efficient operation of the system. The flexibility to accommodate multiple UAVs of varying compliance levels highlight the robustness of the proposed framework.
Multiple Lane UAV Corridor Planning for Urban Mobility System Applications
Published on: 19 July 2021
Article DOI: https://doi.org/10.1109/ICUAS51884.2021.9476854
Cite Article: Challa, Vinay Reddy, Mohit Gupta, Ashwini Ratnoo, and Debasish Ghose. “Multiple lane uav corridor planning for urban mobility system applications.” In 2021 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1003-1009. IEEE, 2021.
Challa, Vinay Reddy, et al. "Multiple lane uav corridor planning for urban mobility system applications." 2021 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2021.
Abstract: The aim of this work is to achieve smooth multiple parallel paths (lanes) confined within a bounded volume (corridor) through controlled airspace in urban scenarios. The problem is formulated as two subproblems: cross-section planning and corridor planning. The corridor cross-section is optimized for minimizing the corridor width for the required number of parallel paths while taking into account the downwash effects. Corridor planning utilizes a modified A* algorithm for waypoint generation in conjunction with a logistic curve based path for smoothly connecting these waypoints while accounting for curvature limits of individual paths. Waypoint heading angles are optimized to find minimum length corridor. The work provides an optimal solution of corridor planning with the capability of accommodating multiple UAVs simultaneously.
Multi-Lane UAV Traffic Management with Path and Intersection Planning
Published on: 29 Dec 2021
Article DOI: https://doi.org/10.2514/6.2022-1505
Cite Article: Nagrare, Samiksha R., Lima A. Tony, Ashwini Ratnoo, and Debasish Ghose. “Multi-Lane UAV Traffic Management with Path and Intersection Planning.” In AIAA SCITECH 2022 Forum, p. 1505. 2022.
Nagrare, Samiksha R., et al. "Multi-Lane UAV Traffic Management with Path and Intersection Planning." AIAA SCITECH 2022 Forum. 2022.
Abstract: Traffic management of airspace with manned and unmanned vehicles is a complex task that requires a clear definition of rules that vehicles should adhere to for smooth and conflict-free movements. Structured traffic acts as an ideal candidate to improve the airspace capacity and reduce the complexity involved. Aerial intersections are novel in this context and require precise management in terms of different parameters like the time involved and vehicle separation. In this work, an intersection planning strategy is proposed in the context of a previously proposed CORRIDRONE architecture. Paths are categorized as a function of the lanes involved in the transition. Intersections are planned as a part of these paths occupying the volume in the airspace. Conflict resolution at intersections is achieved using lane changing. Lane changing method ensures vehicle transit within a prescribed time. The transit path is modeled using polynomial curves with transit geo-fencing that guarantees safety.
Signed Distance Function based Geofencing for UAV Corridor
Published on: 29 Dec 2021
Article DOI: https://doi.org/10.2514/6.2022-1507
Cite Article: Bhise, Aashay A., Stuti Garg, Ashwini Ratnoo, and Debasish Ghose. “Signed Distance Function based Geofencing for UAV Corridor.” In AIAA Scitech 2022 Forum, p. 1507. 2022.
Bhise, Aashay A., et al. "Signed Distance Function based Geofencing for UAV Corridor." AIAA Scitech 2022 Forum. 2022.
Abstract: With increase in urban surface level traffic congestion, development of urban air mobility is attracting a lot of attention from researchers. Urban Air Mobility requires rules and regulations in a traffic scenario so as to deployUnmannedAerialVehicles (UAV) in urban areas. Geo-fencing is a critical component of the UAV system as it designates the strict boundaries of the lanes and sub-lanes for safety and smooth flow of UAV traffic. In this work, a novel approach for representation of geofencing using Signed Distance Functions (SDF) is presented. A geofence repulsion strategy, so that UAV does not collide with various proposed geofencing layers, and violation check using the trajectory planning strategy are proposed to ensure smooth flow of drones in the airspace. These methods are developed for CORRIDRONE, an architecture for authorizing drones in the controlled airspace, but are general enough to be used in other air mobility systems too.