Safe motion planning in dynamic environments

By Stéphane Petti, Thierry Fraichard. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

307 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/00127bef3dbe9388b9ddf936fc4d242c208dc606

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Citations in the corpus

Reciprocal n-Body Collision Avoidance (2011, background): “This problem is generally referred to as “asteroid avoidance”, and approaches typically extrapolate the observed velocities in order to estimate the future positions of obstacles [8, 9, 12, 19, 22, 28].”
Planning-based prediction for pedestrians (2009, background): “Robots should certainly never collide with people [11], but avoiding collisions alone is often unsatisfactory because the disruption of almost colliding can be burdensome to people and sub-optimal for robots.”
Reciprocal collision avoidance with acceleration-velocity obstacles (2011, background): “Many works in robotics have addressed the problem of collision avoidance with moving obstacles [5], [9], [14].”
SIPP: Safe interval path planning for dynamic environments (2011, background): “Some other approaches use RRT-variants to plan quickly in higher-dimensional search spaces that can handle the kinodynamic constraints of more complex robots [7], [1].”
Scene Understanding by Reasoning Stability and Safety (2015, background): “(4) Safe motion planning As motion planning is a classic problem in robotics, (Petti and Fraichard 2005; Phillips and Likhachev 2011) tackled the problem of safe motion planning in the presence of moving obstacles.”
Reciprocal Velocity Obstacles for real-time multi-agent navigation (2008, methodology): “Besides the Velocity Obstacle approach [3], [16], many other methods have been proposed for collision-avoidance, navigation, and planning among moving obstacles [4], [7], [8], [14], [23], [21], [20], [24].”
CommonRoad: Composable benchmarks for motion planning on roads (2017, background): “Tire slip is not considered, but the kinematic singletrack model can be used when the vehicle does not operate close to its physical capabilities [26], [35].”
The Hybrid Reciprocal Velocity Obstacle (2011, background): “Well-known reactive formulations include the dynamic window approach [3] and inevitable collision states [5], in addition to velocity obstacles [2].”
Dynamic trajectory generation using continuous-curvature algorithms for door to door assistance vehicles (2014, background): “Some of the researches developed within these projects are: motion planning and safety maneuvers [9]; Inevitable Collision States (ICS) [10], Geographical Information System (GIS) based on GPS, autonomous navigation with cameras and lasers [11], among others.”