Intelligent landing hazard assessment and avoidance for safe spacecraft landing
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Engineering topics
Publications and source records attributed to Howard, A..
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The focus of this paper is to present a methodology for validating the relevance of autonomy technologies to current and future space missions.
This paper discusses the development of a new family of reconfigurable robotic vehicles for use in exploration of the surfaces of Mars and other remote planets.
This paper will describe how the fuzzy image processing is implemented in the instrument. Comparison of the Fuzzy image processing and a more conventional image processing algorithm is provided and shows that the Fuzzy image processing yields better accuracy then conventional image processing.
This paper presents a technique for incorporating terrain traversability data into a global path planning method for field mobile robots operating on rough natural terrain.
This expository paper describes sensing and perception issues facing the space robotics community concerned with deploying autonomous rovers on other planetary surfaces.
This paper presents a Fuzzy Rule-Based Safety Index that quantifies the ease-of-landing a spacecraft on a planetary surface based on sensor-derived measurements of terrain characteristics.
This paper presents a novel information fusion methodology for intelligent terrain analysis.
This paper presents a novel global path planning method for field mobile robots operating on rough natural terrain.
A new generation of sun sensors is emerging. These sun sensors utilize an imaging detector and the sun sensor determines the sun angles based on an image of fringes or centroids on the detector plane. Typically determines the sun angle in two axes.
This paper presents a new strategy for autonomous navigation of field mobile robots on hazardous natural terrain using a fuzzy logic approach and a novel measure of terrain transversability.
This paper presents a technique for learning to assess terrain traversability for outdoor mobile robot navigation using human-embedded logic and real-time perception of terrain features extracted from image data.
This paper describes rover safety issues and presents an approximate reasoning approach to maintaining vehicle safety in a navigational context.
Turbulent convection is an inherently non-local phenomenon and a primary condition for a successful treatment of the CBL (convective boundary layer) is a reliable model of non-locality. In the dynamic equations governing the convective flux, the turbulent kinetic energy, etc., non-locality is represented by the third-order moments, TOMs. Since the simplest form, the so-called down gradient approximation (DGA), severely underestimates the TOMs (up to an order of magnitude), a more physical model is needed. In 1994, an analytical model was presented which was derived directly from the dynamical equations for the TOMs. It considerably improved the DGA but was a bit cumbersome to use and, more importantly, it was based on the quasi-normal (QN) approximation for the fourth-order moments. Here, we present a new analytic expression for the TOMs which is structurally simpler than the 1994 expression and which avoids the QN approximation. The resulting fit to the LES data is superior to that of the 1994 model.
This paper presents a rule-based fuzzy traversability index that quantifies the ease-of-traversal of a terrain by a mobile robot based on real-time measurements of terrain characteristics retrieved from imagery data.
Operatiional safety and health monitoring are critical matters for autonomous field mobile robots such as planetary rovers operating on challenging terrain. This paper describes relevant rover safety and health issues and presents an approach to maintaining vehicle safety in a navigational context.
This paper presents a novel multi-sensor information fusion methodology for intelligent terrain characterization.
A three-dimensional microelectronic device (3DANN-R) capable of performing general image convolution at the speed of 10***sup12*** operations/second (ops) in a volume of less than 1.5 cubic centimeter has been successfully built under the BMDO/JPL VIGILANTE program.