REFERENCES 
Bay, H., Ess, A., Tuytelaars, T. and Vangool, L., 2008. 
Speeded-Up Robust Features (SURF). Computer Vision and 
Image Understanding, 110(3), p.346-359. 
Doucet, A., Freitas, N., Murphy, K. and Russell, S., 2000. Rao- 
Blackwellized particle filtering for dynamic Bayesian networks. 
Proceedings of the 16th Conference on Uncertainty in Artificial 
  
  
  
    
Intelligence (UAI'00), pp176-183. KI 
Fischler, M. and Bolles, R., 1981. Random sample consensus: AE 
A paradigm for model fitting with applications to image 
: Ea) : Th 
analysis and automated cartography. Communications of the 
ACM, 24(6), pp381-395. Di 
(a) original image obj 
Hartley, R. and Zisserman, A., 2004. Multiple View Geometry Cal 
in Computer Vision. Cambridge University Press, Cambridge. 5 
Isard, M. and Blake, A., 1998. CODENSATION - Conditional det 
density propagation for visual tracking. International Journal paf 
of Computer Vision, 29(1), p.5-28. m 
Klein, G. and Murray, D., 2007. Parallel Tracking and 
Mapping for Small AR Workspaces. Proceedings of 6th IEEE 
and ACM International Symposium on Mixed and Augmented 
Reality, pp. 225-234. Re 
anc 
Lepetit, V., Vacchetti, L., Thalmann, D. and Fua, P., 2003. gra 
Fully automated and stable registration for augmented reality wit 
applications. Proceedings of the Second IEEE and ACM obj 
International Symposium on Mixed and Augmented Reality, pp. bus 
93-102. gro 
reci 
Mclauchlan, P.F., 2000. A batch / recursive algorithm for 3D wit 
scene reconstruction. Proceedings of IEEE Computer Society dev 
Conference on Computer Vision and Pattern Recognition. pp. bec 
2738-2743. inte 
gra] 
Montemerlo, M., Thrun, S., Koller, D. and Wegbreit, B., 2002. app 
FastSLAM: A  Factored Solution to the Simultaneous sen: 
Localization and Mapping Problem. Proceedings of the AAAI ster 
National Conference on Artificial Intelligence. pho 
rec 
Kato, H. and Billinghurst, M., 1999. Marker tracking and inte 
HMD calibration for a video-based augmented reality mar 
conferencing system. Proceedings of the 2nd International has 
Workshop on Augmented Reality, pp. 85-94. aut 
dev 
Rosten, E. and Drummond, T., 2006. Machine learning for Mo 
high-speed corner detection. Proceedings of 9th European app! 
Conference on Computer Vision, pp. 430-443. seq 
im 
Smith, R. C. and Cheeseman, P., 1986. On the representation Imp 
and estimation of spatial uncertainty. /nternational Journal of mor 
Robotics Research, 5(4), pp56-68. 199 
with 
Stewenius, H., Engels, C. and Nister, D., 2006. Recent tow. 
| developments on direct relative orientation. /SPRS Journal of rend 
: (d) superimposition after three <econds . Photogrammetry and Remote Sensing, 60, pp284-294. for « 
Figure 10. Superimpose hazard map onto sequential image Thrun, S. Burserd, W.-and Fox, D., 2006. Probabilistic D. 
Robotics. The MIT Press, Cambridge. each 
Triggs, B., McLauchlan, P., Hartley, R. and Fitzgibbon, A., Sei 
2000. Bundle adjustment — a modern synthesis. In Triggs, B., (200 
Zisserman, A. and Szeliski, R. eds., Vision Algorithm: Theory reso 
and Practice, Springer-Verlag, Berlin. 
178