Localization of Mars rovers using descent and surface-based image data

نویسندگان

  • Rongxing Li
  • Fei Ma
  • Fengliang Xu
  • Larry H. Matthies
  • Clark F. Olson
  • Raymond E. Arvidson
چکیده

[1] The planned 2003 Mars Exploration Rover (MER) Mission and follow-on surface activities associated with landed missions will focus on long distance roving and sample return, which require detailed knowledge of vehicle locations in both local and global reference systems. In this paper we argue that this rover localization should be known to within 0.1% of the distance traversed for local coordinate systems. To test the ability to meet this goal using only descent and rover-based data, we conducted experiments with simulated descent images and Field Integrated Design and Operations Rover data collected during field tests at Silver Lake, California, in April 1999. Specifically, an integrated bundle adjustment system incorporating both descent and rover-based images was developed and used to localize the rover positions. On the basis of surveyed ground control points it is demonstrated that the joint analysis produces RMS errors of 0.24, 0.15, and 0.38 m in x, y, and z directions in a local coordinate system, respectively, for ground points within 500 m from the landing point and 0.23, 0.21, and 0.46 m within a distance of 1.5 km. Results show that it is possible to meet the 0.1% goal using descent and roverbased data only.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Autonomous Navigation Results from the Mars Exploration Rover (MER) Mission

In January, 2004, the Mars Exploration Rover (MER) mission landed two rovers, Spirit and Opportunity, on the surface of Mars. Several autonomous navigation capabilities were employed in space for the first time in this mission. In the Entry, Descent, and Landing (EDL) phase, both landers used a vision system called the Descent Image Motion Estimation System (DIMES) to estimate horizontal veloci...

متن کامل

Maximum Likelihood Rover Localization by Matching Range

This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is rst generated using stereo vision. The position of the rover with respect to a previously generated occupancy map is then computed by comparing the maps using a probabilistic formulation of image matching techniques. ...

متن کامل

The Mars Exploration Rovers Descent Image Motion Estimation System

altimeter, an inertial-measurement unit, and an algorithm for combining sensor measurements to estimate horizontal velocity—the speed across the planet’s surface the lander travels as it descends. Although the sensors are not novel technology, the algorithm and flight software that combines them are new. This algorithm combines radar, image, and inertial data in a novel way to create a low-cost...

متن کامل

Tracking Capability for Entry, Descent and Landing and its support to NASA Mars Exploration Rovers

1. INTRODUCTION In January 2004, the two NASA Mars Exploration Rovers (MER) – also known as Spirit and Opportunity-arrived at Mars. Before they could start their scientific investigation looking for traces of water and evidence of possible life in the past, the two rovers had to pass through a dangerous stage of entry, descent and landing (EDL). Each rover had to safely enter and descend throug...

متن کامل

Precision Instrument Targeting via Image Registration for the Mars 2020 Rover

A key component of Mars exploration is the operation of robotic instruments on the surface, such as those on board the Mars Exploration Rovers, the Mars Science Laboratory (MSL), and the planned Mars 2020 Rover. As the instruments carried by these rovers have become more advanced, the area targeted by some instruments becomes smaller, revealing more fine-grained details about the geology and ch...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002