Occupancy flow fields for motion forecasting in autonomous driving

R Mahjourian, J Kim, Y Chai, M Tan… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
… The ground truth (bottom-right) contains the color wheel that maps motion direction and
magnitude to different colors. The gray traces in the bottom images show the past state of the …

Simultaneous scene reconstruction and whole-body motion planning for safe operation in dynamic environments

MN Finean, W Merkt, I Havoutis - 2021 IEEE/RSJ International …, 2021 - ieeexplore.ieee.org
… We achieve this by calculating distance fields for both the occupancy map and the inverse
occupancy map; the values are then subtracted to produce a SDF. In the case of GPU-Voxels, …

[HTML][HTML] Three-Dimensional Flight Corridor: An Occupancy Checking Process for Unmanned Aerial Vehicle Motion Planning inside Confined Spaces

S Mostafa, A Ramirez-Serrano - Robotics, 2023 - mdpi.com
… the flight corridor, an environmental map is represented as a grid occupancy map. Each i t h
… an optimal approach for a UAV motion planning solution. These convex hull polyhedra are …

Robot motion planning in learned latent spaces

B Ichter, M Pavone - IEEE Robotics and Automation Letters, 2019 - ieeexplore.ieee.org
… We seek to learn a mapping m from X to Z and a mapping n from Z to X for which latent
dynamics fZ are enforced over Z. We further learn a “blackbox” collision checking function g in the …

Improving octree-based occupancy maps using environment sparsity with application to aerial robot navigation

J Chen, S Shen - … IEEE international conference on robotics and …, 2017 - ieeexplore.ieee.org
… Finally, we integrate the proposed octree-based mapping module into our motion planning
system (Sect. III) onboard a quadrotor testbed and demonstrate autonomous navigation …

Learning to predict ego-vehicle poses for sampling-based nonholonomic motion planning

H Banzhaf, P Sanzenbacher… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
map for motion planning is depicted on the ground. adapting to the various driving situations
is nearly as difficult as solving the motion planning … 60 m region of the occupancy grid with a …

[PDF][PDF] Robust matching of occupancy maps for odometry in autonomous vehicles

M Dimitrievski, D Van Hamme, P Veelaert… - 11th Joint Conference …, 2016 - biblio.ugent.be
… We will first explain the update of the occupancy map for a static vehicle, or a moving vehicle
occupancy for each grid element (cell) can be estimated separately from the rest of the map

Learning occupancy priors of human motion from semantic maps of urban environments

A Rudenko, L Palmieri, J Doellinger… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
… (CNN) to predict average occupancy maps indoors, with semantic map input for the urban
… Stone, “Robust motion planning and safety benchmarking in human workspaces.” in SafeAI…

Model predictive control of autonomous vehicles with integrated barriers using occupancy grid maps

M Cho, Y Lee, KS Kim - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
motion planning by creating and relaxing one unified constraint using the occupancy grid
map. An … In this letter, we investigate whether occupancy grid maps can be used directly for …

HDRM: A resolution complete dynamic roadmap for real-time motion planning in complex scenes

Y Yang, W Merkt, V Ivan, Z Li… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Motion Planning using HDRM With the HDRM created and loaded, our goal is to efficiently
solve motion planning queries … maps,” IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. …