most citedLearning from Experience for Rapid Generation of Local Car Maneuvers

11 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022★ 4 cited

Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction

Piotr Kicki, Piotr Skrzypczyński

This paper demonstrates how an efficient representation of the planned path using B-splines, and a construction procedure that takes advantage of the neural network's inductive bia…

cs.LG2020★ 1 cited

A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups

Piotr Kicki, Mete Ozay, Piotr Skrzypczyński

We propose a computationally efficient -invariant neural network that approximates functions invariant to the action of a given permutation subgroup of the symmetri…

cs.RO2020★ 11 cited

Learning from Experience for Rapid Generation of Local Car Maneuvers

Piotr Kicki, Tomasz Gawron, Krzysztof Ćwian +2

Being able to rapidly respond to the changing scenes and traffic situations by generating feasible local paths is of pivotal importance for car autonomy. We propose to train a deep…

cs.RO2020★ 1 cited

A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment

Piotr Kicki, Tomasz Gawron, Piotr Skrzypczyński

An efficient path planner for autonomous car-like vehicles should handle the strong kinematic constraints, particularly in confined spaces commonly encountered while maneuvering in…

cs.LG2020★ 4 cited

A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups

Piotr Kicki, Mete Ozay, Piotr Skrzypczyński

We introduce a method to design a computationally efficient -invariant neural network that approximates functions invariant to the action of a given permutation subgroup $G \leq…