Reliable detection of non-traversable hazards is a key requirement for off-road autonomous navigation. Under the Army Research Laboratory (ARL) Collaborative Technology Alliances (CTA) program, JPL has evaluated the performance of seven obstacle detection algorithms on a General Dynamics Robotic Systems (GDRS) surveyed obstacle course containing 21 obstacles. Stereo imagery was collected from a...

A simple obstacle detection device, based upon an automobile parking sensor, was assessed as a mobility aid for the visually impaired. A questionnaire survey for mobility needs was performed at the start of this study. After the detector was developed, five blindfolded sighted and 15 visually impaired participants were invited to conduct travel experiments under three test conditions: (1) using...

The system utilizes IoT, echolocation, picture handling, man-made brainpower, and route framework innovation to distinguish between close far snags for the client. If visually impaired individual falls or has another issue, will send an admonition assigned individual. It distinguishes object before this with a specific reach. At point when item is recognized signal sound given client as sign. W...

Vision-based navigation and obstacle detection must be sophisticated in order to perform well in complicated and diverse terrain, but that complexity comes at the expense of increased system latency between image capture and actuator signals. Increased latency, or a longer control loop, degrades the reactivity of the robot. We present a navigational framework that uses a self-supervised, learni...

Srinivasan and Zhang (1993) describe behavioral evidence for two distinct movement detecting systems in bee: (1) A direction selective pathway with low frequency response characteristics serving the optomotor response and (2) A non-direction selective movement system with higher frequency response serving functions of obstacle avoidance and the ‘tunnel centering’ response where the animal seeks...

This document discusses the design of our Knight Sweeper vehicle. Knight Sweeper is an autonomous vehicle designed to detect any metallic objects and avoid obstacles during its route of navigation. Once detection occurs the vehicle is designed to identify region of detection and avoid collision with the actual metallic object or obstacle in its way. Knight Sweeper will be able to operate in a m...

This paper describes an obstacle detection system for a high-speed and agile unmanned surface vehicle (USV), running at speeds up to 30 m/s. The aim is a real-time and high performance obstacle detection system using both radar and vision technologies to detect obstacles within a range of 175 m. A computer vision horizon detector enables a highly accurate attitude estimation despite large and s...