Automating Geometric Proofs of Collision Avoidance with Active Corners

07/15/2022
by   Nishant Kheterpal, et al.
0

Avoiding collisions between obstacles and vehicles such as cars, robots or aircraft is essential to the development of automation and autonomy. To simplify the problem, many collision avoidance algorithms and proofs consider vehicles to be a point mass, though the actual vehicles are not points. In this paper, we consider a convex polygonal vehicle with nonzero area traveling along a 2-dimensional trajectory. We derive an easily-checkable, quantifier-free formula to check whether a given obstacle will collide with the vehicle moving on the planned trajectory. We apply our method to two case studies of aircraft collision avoidance and study its performance.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/23/2022

Control Barrier Functions in UGVs for Kinematic Obstacle Avoidance: A Collision Cone Approach

In this paper, we propose a new class of Control Barrier Functions (CBFs...
research
06/25/2021

Collision Avoidance for Unmanned Aerial Vehicles in the Presence of Static and Moving Obstacles

This paper presents a new collision avoidance procedure for unmanned aer...
research
09/24/2020

Safe Coverage of Moving Domains for Vehicles with Second Order Dynamics

Autonomous coverage of a specified area by robots operating in close pro...
research
05/10/2022

Envelopes and Waves: Safe Multivehicle Collision Avoidance for Horizontal Non-deterministic Turns

We present an approach to analyzing the safety of asynchronous, independ...
research
05/30/2022

Development of a hybrid model-based data-driven collision avoidance algorithm for vehicles in low adhesion conditions

Winter conditions, characterized by the presence of ice and snow on the ...
research
03/12/2023

Sequential Spatial Network for Collision Avoidance in Autonomous Driving

Several autonomous driving strategies have been applied to autonomous ve...
research
12/15/2022

Probabilistic Constraint Tightening Techniques for Trajectory Planning with Predictive Control

In order for automated mobile vehicles to navigate in the real world wit...

Please sign up or login with your details

Forgot password? Click here to reset