Egocentric affordance fields in pedestrian steering Export

@inproceedings{citeulike:4992296, abstract = {In this paper we propose a general framework for local path-planning and steering that can be easily extended to perform high-level behaviors. Our framework is based on the concept of affordances - the possible ways an agent can interact with its environment. Each agent perceives the environment through a set of vector and scalar fields that are represented in the agent's local space. This egocentric property allows us to efficiently compute a local space-time plan. We then use these perception fields to compute a fitness measure for every possible action, known as an affordance field. The action that has the optimal value in the affordance field is the agent's steering decision. Using our framework, we demonstrate autonomous virtual pedestrians that perform steering and path planning in unknown environments along with the emergence of high-level responses to never seen before situations.}, address = {New York, NY, USA}, author = {Kapadia, Mubbasir and Singh, Shawn and Hewlett, William and Faloutsos, Petros}, booktitle = {I3D '09: Proceedings of the 2009 symposium on Interactive 3D graphics and games}, citeulike-article-id = {4992296}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1507149.1507185}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1507149.1507185}, citeulike-linkout-2 = {http://www.cs.ucla.edu/~mubbasir/pdfs/egocentric-i3d.pdf}, doi = {10.1145/1507149.1507185}, isbn = {978-1-60558-429-4}, keywords = {crowd, games, group, pedestrian, space\_time, steering, vehicle}, location = {Boston, Massachusetts}, pages = {215--223}, posted-at = {2009-06-27 22:33:40}, priority = {2}, publisher = {ACM}, title = {Egocentric affordance fields in pedestrian steering}, url = {http://dx.doi.org/10.1145/1507149.1507185}, year = {2009} }

TY - CONF ID - citeulike:4992296 L3 - citeulike-article-id:4992296 N2 - In this paper we propose a general framework for local path-planning and steering that can be easily extended to perform high-level behaviors. Our framework is based on the concept of affordances - the possible ways an agent can interact with its environment. Each agent perceives the environment through a set of vector and scalar fields that are represented in the agent's local space. This egocentric property allows us to efficiently compute a local space-time plan. We then use these perception fields to compute a fitness measure for every possible action, known as an affordance field. The action that has the optimal value in the affordance field is the agent's steering decision. Using our framework, we demonstrate autonomous virtual pedestrians that perform steering and path planning in unknown environments along with the emergence of high-level responses to never seen before situations. CY - Boston, Massachusetts SN - 978-1-60558-429-4 AD - New York, NY, USA EP - 223 TI - Egocentric affordance fields in pedestrian steering PB - ACM T2 - I3D '09: Proceedings of the 2009 symposium on Interactive 3D graphics and games SP - 215 KW - crowd KW - games KW - group KW - pedestrian KW - space_time KW - steering KW - vehicle AU - Kapadia, Mubbasir AU - Singh, Shawn AU - Hewlett, William AU - Faloutsos, Petros PY - 2009/// UR - http://dx.doi.org/10.1145/1507149.1507185 ER -