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.

Intelligent carrier vehicle and intersection collision avoidance system for intelligent carrier vehicle

Abstract: The invention provides an intelligent carrier vehicle and an intersection collision avoidance system for the intelligent carrier vehicle. The intersection collision avoidance system comprises at least two intelligent carrier vehicles. The intelligent carrier vehicle comprises a vehicle frame, a running mechanism, a collision avoidance device and a vehicle-mounted control device. The collision avoidance device comprises area collision avoidance sensors arranged at the joint corners of the vehicle frame front side and/or back side and side surfaces respectively. The area collision avoidance sensors of one intelligent carrier vehicle respectively have a transmitting end for emitting signals out, and the area collision avoidance sensors of the other intelligent carrier vehicle respectively have a receiving end for receiving the signals. When two vehicles approaches to an intersection of a road, and when the receiving ends of the other intelligent carrier vehicle receive the signals emitted by the transmitting ends of the one intelligent carrier vehicle, the vehicle-mounted control device of the other intelligent carrier vehicle controls the running mechanism thereof to slow down till the running mechanism stops moving; and after the one intelligent carrier vehicle crosses the intersection, the running mechanism of the other intelligent carrier vehicle moves again.

A 3D dynamic Voronoi diagram-based path-planning system for UUVs

Abstract: This paper proposes a rapid path-planning and replanning system for Unmanned Underwater Vehicles (UUVs) that navigate in environments where subsea structures and other vehicles may be present. The proposed method is based on the Voronoi diagram, which is used to generate an initial set of connected waypoints (a roadmap) in the three-dimensional (3D) space, ensuring a certain clearance to avoid collisions with obstacles or grounding (e.g. collision with the ground). A 3D continuous path, composed by straight segments and circumference arcs, connects the aforementioned waypoints. If the vehicle encounters any moving or static obstacle and a collision risk is detected, the path is replanned online. In this context, an evaluation of the risk must be performed, and a list of traffic rules inspired by the International Regulations for Preventing Collisions at Sea (COLREGs, which are adopted for surface vessels), and by the Traffic and Collision Avoidance System (TCAS, which is adopted for aerial vehicles), is proposed for underwater vehicles. Those rules define the replanning procedure, so that an effective and safe collision avoidance maneuver can be performed whenever necessary. Simulations are performed on an subsea factory scenario, and results are presented to show the effectiveness of the proposed method.

PICAR: experimental platform for road tracking applications

Abstract: The PICAR platform is an electrical car including an embedded electronics system. The generic goal is to design an embedded multi sensor plat-form for automotive application such as collision avoidance. Therefore the system includes classical sensors like video camera and ultrasonic sensors, a PC bi-processors, a CAN network and dedicated software for signal and image processing, data fusion and decision system. This plat-form allows experimenting customized sensors and specific architectures dedicated to fusion systems and data processing. The target scenarios are collision avoidance system, automatic parking, and lateral control application on a road lane.

A Furcated Visual Collision Avoidance System for an Autonomous Microrobot

Abstract: This paper proposes a secondary reactive collision avoidance system for microclass of robots based on a novel approach known as the furcated luminance-difference processing (FLDP) inspired by the lobula giant movement detector, a wide-field visual neuron located in the lobula layer of a locust nervous system. This paper addresses some of the major collision avoidance challenges: obstacle proximity and direction estimation, and operation in GPS-denied environment with irregular lighting. Additionally, it has proven effective in detecting edges independent of background color, size, and contour. The FLDP executes a series of image enhancement and edge detection algorithms to estimate collision threat-level which further determines whether the robot’s field of view must be dissected where each section’s response is compared against the others to generate a simple collision-free maneuver. Ultimately, the computation load and the performance of the model are assessed against an eclectic set of offline as well as real-time real-world collision scenarios validating the proposed model’s asserted capability to avoid obstacles at more than 670 mm prior to collision, moving at 1.2 ms−1 with a successful avoidance rate of 90% processing at 120 Hz on a simple single-core microcontroller, sufficient to conclude the system’s feasibility for real-time real-world applications that possess fail-safe collision avoidance system.

Collision avoidance system of non-motor vehicle and control method thereof

Abstract: The invention discloses a collision avoidance system of a non-motor vehicle and a control method thereof. The collision avoidance system is characterized in that the system consists of an early warning system module and a control system module, wherein the early warning system module comprises a radio-frequency identification system and a reminding device; the radio-frequency identification system consists of an RFID reader arranged on the vehicle and an RFID label positioned at the pedestrian; the RFID reader receives an RFID label signal through a wireless network, and sends a trigger signal to the control system module; the output end of the control system module is connected with a vehicle brake system and the reminding device respectively; and the reminding device is arranged on the vehicle. The system is connected to the vehicle and the pedestrian by using the radio-frequency wireless network; and when the RFID reader receives the RFID label signal, the control system module is triggered to drive the brake system and the reminding device to realize early warning prompt and vehicle speed control so that a driver can avoid the pedestrian in time and the driving safety is improved.