Terrain Following and Terrain Avoidance with Synthetic Vision

Theunissen, E.; Koeners, G.J.M.; Rademaker, R.M.; Jinkins, R.D.; Etherington, Timothy J.

doi:10.1109/dasc.2005.1563363

Cited by 8 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method was only suitable for such a special mechanism. It is worth noting that terrain features have been used to achieve terrain following for military aircraft (Theunissen, Koeners, Rademaker, Jinkins, & Etherington, ; Zelenka, Clark, Zirkler, Saari, & Bragan, ), and bottom mapping/map matching (Cancilliere, ) has been used for underwater vehicles when GPS signals were lost. Resembling terrain following and bottom mapping/map matching, this research presents a new localization method in which the inclination characteristics of the terrain are considered as the features of the surroundings.…”

Section: Related Workmentioning

confidence: 99%

Terrain-inclination-based Three-dimensional Localization for Mobile Robots in Outdoor Environments

2014

View full text Add to dashboard Cite

A new terrain‐inclination‐based localization technique is proposed in this paper to enable a robot to identify its three‐dimensional location relative to measurable terrain inclinations. Given a topographical map and a planned path, a robot‐terrain‐inclination model (RTI model) is extracted along the path on the terrain upon which the robot is operating. A particle filter is then used to fuse the measurement data with the robot motion based on the extracted RTI model for either a three‐wheeled or a four‐wheeled mobile robot. Experiments were carried out in four outdoor scenarios: one short path with different initial conditions and map resolution, another short path with different surface roughness and sensor accuracy, and two long paths with different types of rigid terrains and multiple loops. Experimental results show that the proposed method could achieve good localization performance on inclined outdoor terrains.

show abstract

Section: Related Workmentioning

confidence: 99%

Terrain-inclination-based Three-dimensional Localization for Mobile Robots in Outdoor Environments

2014

View full text Add to dashboard Cite

show abstract

“…Based on results from our own research into synthetic vision [10][11][12][13][14][15][16][17][18][19][20] and a review of other research we have identified a significant number of opportunities in the visualization domain to support SA and in the function domain to provide operator support.…”

Section: Synthetic Visionmentioning

confidence: 99%

“…Using a prediction of the future path and a terrain elevation database, a test for the penetration of the Minimum Safety Altitude (MSA) can be performed. Such a database-derived predictive terrain separation monitor has been developed and integrated into an SV system for Terrain Following 20 . Figure 6 shows an example of the visualization of this concept.…”

Section: Predictive Look-ahead Terrain Alertingmentioning

confidence: 99%

Synthetic vision to augment sensor-based vision for remotely piloted vehicles

2006

View full text Add to dashboard Cite

In the past fifteen years, several research programs have demonstrated potential advantages of synthetic vision technology for manned aviation. More recently, some research programs have focused on integrating synthetic vision technology into control stations for remotely controlled aircraft. The contribution of synthetic vision can be divided into two categories. The depiction of the environment and all relevant constraints contributes to the pilot's situation awareness, while the depiction of the planned path and its constraints allows the pilot to control or monitor the aircraft with high precision. This paper starts with an overview of the potential opportunities provided by synthetic vision technology. A distinction is made between the presentation domain and the function domain. In the presentation domain, the benefits are obtained from making the invisible visible. In the function domain, benefits are obtained from the possibility to integrate data from the synthetic vision system into other functions. The paper continues with a number of examples of situation awareness support concepts which have been explored in the current research. After this, the potential contribution of synthetic vision technology to the manual control task is discussed and it is indicated how these potential advantages will be explored in the next research phase.

show abstract

The virtual landing pad: facilitating rotary-wing landing operations in degraded visual environments

et al. 2018

View full text Add to dashboard Cite

The safety of rotary-wing operations is significantly affected by the local weather conditions, especially during key phases of flight including hover and landing. Despite the operational flexibility of rotary-wing craft, such craft accounts for a significantly greater proportion of accidents than their fixed-wing counterparts. A key period of risk when operating rotary-wing aircraft is during operations that occur in degraded visual environments, for example as a result of thick fog. During such conditions, pilots' workload significantly increases and their situation awareness can be greatly impeded. The current study examines the extent to which providing information to pilots via the use of a head-up display (HUD) influenced perceived workload and situation awareness, when operating in both clear and degraded visual environments. Results suggest that whilst the HUD did not benefit pilots during clear conditions, workload was reduced when operating in degraded visual conditions. Overall results demonstrate that access to the HUD reduces the difficulties associated with flying in degraded visual environments.

show abstract

Terrain Following and Terrain Avoidance with Synthetic Vision

Cited by 8 publications

References 10 publications

Terrain-inclination-based Three-dimensional Localization for Mobile Robots in Outdoor Environments

Terrain-inclination-based Three-dimensional Localization for Mobile Robots in Outdoor Environments

Synthetic vision to augment sensor-based vision for remotely piloted vehicles

The virtual landing pad: facilitating rotary-wing landing operations in degraded visual environments

Contact Info

Product

Resources

About