Observability analysis and optimal sensor placement in stereo radar odometry
IEEE International Conference on Robotics and Automation (ICRA)
Localization is the key perceptual process closing the loop of autonomous navigation, allowing self-driving vehi- cles to operate in a deliberate way. To ensure robust localization, autonomous vehicles have to implement redundant estimation processes, ideally independent in terms of the underlying physics behind sensing principles. This paper presents a stereo radar odometry system, which can be used as such a redundant system, complementary to other odometry estimation processes, providing robustness for long-term operability. The presented work is novel with respect to previously published methods in that it contains: (i) a detailed formulation of the Doppler error and its associated uncertainty; (ii) an observability analysis that gives the minimal conditions to infer a 2D twist from radar readings; and (iii) a numerical analysis for optimal vehicle sensor placement. Experimental results are also detailed that validate the theoretical insights.
A. Corominas Murtra, J. Vallvé, J. Solà, I. Flores and J. Andrade-Cetto. Observability analysis and optimal sensor placement in stereo radar odometry, 2016 IEEE International Conference on Robotics and Automation, 2016, Stockholm, Sweden, pp. 3161-3166.