Two-stage static/dynamic environment modeling using voxel representation

Advances in Intelligent Systems and Computing

Volumn 417, Issue , 2016, Pages 465-476

  Asvadi, Alireza ^a   Peixoto, Paulo ^a   Nunes, Urbano ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Dynamic environment; Motion detection; Piecewise surface; Velodyne perception; Voxel representation

Indexed keywords

INTELLIGENT SYSTEMS; ROBOTICS; VEHICLES;

DYNAMIC ENVIRONMENTS; MOTION DETECTION; PIECE-WISE; VELODYNE; VOXEL REPRESENTATION;

SENSORY PERCEPTION;

EID: 84951808729     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-27146-0_36     Document Type: Conference Paper

References (10)

1. Laugier, C., Paromtchik, I.E., Perrollaz, M., Yong, M.Y., Yoder, J.-D., Tay, C., Mekhnacha, K., Negre, A.: Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety. IEEE Intelligent Transportation Systems Magazine 3(4), 4-19 (2011)
2. Ziegler, J., Bender, P., Schreiber, M., Lategahn, H., et al.:Making bertha drive?-an autonomous journey on a historic route. IEEE Intelligent Transportation Systems Magazine 6(2), 8-20 (2014)
3. Urmson, C., Anhalt, J., Bagnell, D., Baker, C., Bittner, R., Clark, M.N., et al.: Autonomous driving in urban environments: Boss and the urban challenge. Journal of Field Robotics 25(8), 425-466 (2008)
4. Montemerlo, M., Becker, J., Bhat, S., Dahlkamp, H., Dolgov, D., Ettinger, S., Haehnel, D., et al.: Junior: The stanford entry in the urban challenge. Journal of Field Robotics 25(9), 569-597 (2008)
5. Pfeiffer, D., Franke, U.: Efficient representation of traffic scenes by means of dynamic stixels. In: IEEE Intelligent Vehicles Symposium (IV), pp. 217-224 (2010)
6. Asvadi, A., Peixoto, P., Nunes, U.:Detection and tracking ofmoving objects using 2.5D motion grids. In: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC) (2015)
7. Broggi, A., Cattani, S., Patander, M., Sabbatelli, M., Zani, P.: A full-3D voxel-based dynamic obstacle detection for urban scenario using stereo vision. In: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC) (2013)
8. Azim, A., Aycard, O.: Layer-based supervised classification of moving objects in outdoor dynamic environment using 3D laser scanner. In: IEEE Intelligent Vehicles Symposium (IV), pp. 1408-1414 (2014)
9. Hornung, A., Wurm, K.M., Bennewitz, M., Stachniss, C., Burgard, W.: OctoMap: An efficient probabilistic 3D mapping framework based on octrees. Autonomous Robots 34(3), 189-206 (2013)
10. Geiger, A., Lenz, P., Stiller, C., Urtasun, R.: Vision meets robotics: The kitti dataset. The International Journal of Robotics Research 32(11), 1231-1237 (2013)