Correction to: Leveraging Connectivity and Automation to Improve Propulsion System Energy Sufficiency

Robinette, Darrell; Chen, Bin; Oncken, Pradeep Bhat Joe; Orlando, Josh; Rama, Neeraj

doi:10.1007/978-3-662-58866-6_30

Proceedings

2020

DOI: 10.1007/978-3-662-58866-6_30

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Correction to: Leveraging Connectivity and Automation to Improve Propulsion System Energy Sufficiency

Darrell Robinette

Bin Chen

Pradeep Bhat Joe Oncken

et al.

Abstract: In the original version of the book, the following belated correction has been incorporated: By mistake the two author names Pradeep Bhat and Joe Oncken were combined to one author name. This has been corrected. The erratum chapter and the book have been updated with the change.

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VISION: Vehicle Infrared Signature Aware Off-Road Navigation

Lonari,

Naber,

Korivi

et al. 2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Vehicle navigation in off-road environments is challenging due to terrain uncertainty. Various approaches that account for factors such as terrain trafficability, vehicle dynamics, and energy utilization have been investigated. However, these are not sufficient to ensure safe navigation of optionally manned ground vehicles that are prone to detection using thermal infrared (IR) seekers in combat missions. This work is directed towards the development of a vehicle IR signature aware navigation stack comprised of global and local planner modules to realize safe navigation for optionally manned ground vehicles. The global planner used A* search heuristics designed to find the optimal path that minimizes the vehicle thermal signature metric on the map of terrain’s apparent temperature. The local planner used a model-predictive control (MPC) algorithm to achieve integrated motion planning and control of the vehicle to follow the path waypoints provided by the global planner. Vehicle apparent temperature-aware kinodynamic motion planning MPC was developed to minimize the vehicle thermal signature metric -- while respecting local mobility constraints due to the terrain grade to prevent vehicle rollover. Additionally, a surface energy model with the inclusion of a vegetation layer was developed to simulate the apparent temperature of the background terrain. The effectiveness of the developed algorithm is demonstrated for the scenario where the adversarial threat perspective is assumed to be from the top looking down at the vehicle.</div></div>

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VISION: Vehicle Infrared Signature Aware Off-Road Navigation

Lonari,

Naber,

Korivi

et al. 2024

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

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Correction to: Leveraging Connectivity and Automation to Improve Propulsion System Energy Sufficiency

Abstract: In the original version of the book, the following belated correction has been incorporated: By mistake the two author names Pradeep Bhat and Joe Oncken were combined to one author name. This has been corrected. The erratum chapter and the book have been updated with the change.

Cited by 1 publication

References 0 publications

VISION: Vehicle Infrared Signature Aware Off-Road Navigation

VISION: Vehicle Infrared Signature Aware Off-Road Navigation

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