In the last decade, Light Detection and Ranging (LIDAR) became a leading technology of detailed reliable 3D environment perception. This paper gives an overview wide applicability LIDAR sensors from perspective signal processing for autonomous driving, including dynamic static scene analysis, mapping, situation awareness which functions significantly point beyond role safe obstacle detector, wa...

In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...

This short paper focuses on the application of concepts and methods of Spatial Cognition to building analysis. We investigate the close relationship between spatial knowledge and built environment by combining theoretical analysis with user comments and behavioral data. Based on an empirical study in a complex multi-level-building two main aspect of navigational space are considered: architectu...

Firstly, we define an order for differential forms. Secondly, we also define the supersolution and subsolution of the A-harmonic equation and the obstacle problems for differential forms which satisfy theA-harmonic equation, and we obtain the relations between the solutions toA-harmonic equation and the solution to the obstacle problem of the A-harmonic equation. Finally, as an application of t...

We study the regularity of solutions of the obstacle problem when the obstacle is smooth on each half of the unit ball but only Lipschitz across the shared boundary. We prove that the optimal regularity of these solutions is C 1 2 up to the shared boundary on each half of the unit ball. The proof uses a modification of Almgren’s frequency formula.

In this paper, the heat transfer to the fluid, passing through the double forward facing step (FFS) channel with square obstacle is enhanced by Taguchi’s S/N ratio analysis. Flow through the forward facing step channel has a wide range of applications in thermal systems due to its flow separation and subsequent reattachment, which in turn enhances the heat transfer. Flow separation and reattach...

In the study of autonomous obstacle avoidance intelligent vehicles, traditional artificial potential field method has problem that vehicle may fall into local minima and lead to failure. Therefore, this paper improves function. Based on dynamics model, a strategy jumping out based smaller steering angles is proposed. By finding angle setting suitable jump step length, enabled minima. Simulation...

We characterize the Casimir forces for Dirac vacuum on free-fermionic chains with smoothly varying hopping amplitudes, which correspond to (1+1)D curved spacetimes a static metric in continuum limit. The first-order energy potential an obstacle that lattice corresponds Newtonian associated metric, while finite-size corrections are described by extension of conformal field theory predictions, in...

Perception is crucial for drone obstacle avoidance in complex, static, and unstructured outdoor environments. However, most navigation solutions based on Deep Reinforcement Learning (DRL) use limited Field-Of-View (FOV) images as input. In this paper, we demonstrate that omnidirectional improve these methods. Thus, provide a comparative benchmark of several visual modalities navigation: ground ...

This paper proposes a dynamic path planning method based on discrete optimization applied to suburban highways or expressways. We optimize the generated candidate points according cost function and then generates local through quintic spline curve. The kinematics obstacle boundary conditions are set up improve reliability of planned path. Meanwhile, two-dimensional normal distribution function,...