scispace - formally typeset
Search or ask a question
Topic

Collision avoidance system

About: Collision avoidance system is a research topic. Over the lifetime, 1788 publications have been published within this topic receiving 23667 citations.


Papers
More filters
Patent
28 Apr 2016
TL;DR: In this paper, an in-motion proximity guidance system was proposed to alert a mobile device user of a likelihood that a projected pathway of an in motion mobile device will intersect with a projected path of another mobile device or a location of a stationary object.
Abstract: This disclosure describes an in-motion proximity guidance system that may alert a mobile device user of a likelihood that a projected pathway of an in-motion mobile device will intersect with a projected pathway of another in-motion mobile device or a location of a stationary object. The in-motion proximity guidance may further trigger visual and/or audible alerts to indicate an imminent collision. These alerts may be emitted from the in-motion mobile devices or stationary sensor devices physically coupled to stationary objects. Further, the in-motion proximity guidance system may transmit a corrective action to a collision avoidance system of a vehicle that is communicatively coupled to a mobile device in order to reduce a likelihood of an imminent collision. The in-motion proximity guidance system may also interact with a smart traffic light system, such that a sequence of traffic light indications may be altered to avoid an imminent collision between vehicles.

8 citations

Book ChapterDOI
24 May 2019
TL;DR: In this paper, an LGMD based collision avoidance method for UAV indoor navigation is presented, where four individual competitive LGMDs compete for guiding the directional collision avoidance of UAV.
Abstract: Building a reliable and efficient collision avoidance system for unmanned aerial vehicles (UAVs) is still a challenging problem. This research takes inspiration from locusts, which can fly in dense swarms for hundreds of miles without collision. In the locust’s brain, a visual pathway of LGMD-DCMD (lobula giant movement detector and descending contra-lateral motion detector) has been identified as collision perception system guiding fast collision avoidance for locusts, which is ideal for designing artificial vision systems. However, there is very few works investigating its potential in real-world UAV applications. In this paper, we present an LGMD based competitive collision avoidance method for UAV indoor navigation. Compared to previous works, we divided the UAV’s field of view into four subfields each handled by an LGMD neuron. Therefore, four individual competitive LGMDs (C-LGMD) compete for guiding the directional collision avoidance of UAV. With more degrees of freedom compared to ground robots and vehicles, the UAV can escape from collision along four cardinal directions (e.g. the object approaching from the left-side triggers a rightward shifting of the UAV). Our proposed method has been validated by both simulations and real-time quadcopter arena experiments.

8 citations

Patent
15 Mar 1996
TL;DR: Any level to avoid a collision projection distance that is greater than the threshold of resolution intrusion alarm aircraft are prohibited, unless it is determined in the plane crash included one for maneuver.
Abstract: The horizontal distance to avoid a collision there is provided a filter system (220), for inhibiting air traffic alert and collision avoidance system (210) providing a warning message to the pilot-resolution display (230). The horizontal distance to avoid a collision by filtration using a parabolic acceleration estimation value obtained from (11) from the track (10), having a non-zero level for distinguishing intrusion aircraft to avoid a collision (110) distance. According to the distance data supplied from the parabola tracker calculated horizontal distance to avoid a collision based on an azimuth track (22) based on the horizontal azimuth angle of collision avoidance provided by the distance comparison. The two calculated horizontal level to avoid collision of the projection distance to avoid a collision, it is compared with a predetermined threshold distance smaller. Any level to avoid a collision projection distance is greater than the threshold of resolution intrusion alarm aircraft are prohibited, unless it is determined in the plane crash included one for maneuver.

7 citations

Journal ArticleDOI
TL;DR: The purpose of this study is to realize the intelligent deliberative obstacle avoidance for unmanned surface vehicle (USV) based on the International Regulations for Preventing Collisions at Sea called COLREGS.
Abstract: The purpose of this study is to realize the intelligent deliberative obstacle avoidance for unmanned surface vehicle (USV), based on the International Regulations for Preventing Collisions at Sea called COLREGS. Firstly, a three-level system architecture is designed for the ship intelligent collision avoidance system. Secondly, an intelligent collision avoidance algorithm is presented based on the calculation of motion parameters and the rules of COLREGS. Thirdly, according to COLREGS, the marine environment is modeled from the electronic chart data and radar information, and a deliberative collision avoidance algorithm is written. Finally, the deliberative collision avoidance simulation is carried out for the USV. The feasibility and reliability of intelligent collision avoidance algorithm are verified by the vivid simulation results.

7 citations


Network Information
Related Topics (5)
Object detection
46.1K papers, 1.3M citations
74% related
Control theory
299.6K papers, 3.1M citations
73% related
Wireless sensor network
142K papers, 2.4M citations
72% related
Robustness (computer science)
94.7K papers, 1.6M citations
72% related
Wireless
133.4K papers, 1.9M citations
71% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
202225
202156
202081
2019128
2018118