Which eyesight technology engages the brakes if an object is detected in the vehicles path?
Answers from top 10 papers
More filters
| Papers (10) | Insight |
|---|---|
| Through connecting intelligent vehicles as well as the roadside infrastructure, the perception range of vehicles can be significantly extended, and hidden objects at blind spots can be efficiently detected and avoided. | |
06 Nov 2009 98 Citations | This approach is thus road illumination agnostic and allows vehicles to be detected day and night. |
29 Citations | Addressing specific problems related to vision should substantially reduce driving limitations due to eyesight. |
47 Citations | One is the detection of vehicles, which could be of use in ADAS. |
08 Oct 2015 25 Citations | Experiment results shows that a high accuracy of driver distraction is detected in different vehicles and camera locations. |
23 Jul 2017 22 Citations | Experimental results utilizing VideoSAR imaging fragment show that multiple moving vehicles are detected effectively and, hence, the validity has been demonstrated. |
| The difference from other methods is that trajectories rather than vehicles are detected. | |
01 Feb 2018 162 Citations | It is shown that if position and velocity values of every vehicle are given, vehicles' behavior could be analyzed and accidents can be detected easily. |
173 Citations | Thus, even an estimate for vehicles' speed is possible, which gives additional information about the traffic condition at image acquisition time. |
01 Dec 2008 26 Citations | The evaluation of experimental results has shown that most vehicles can be correctly detected, whose delineated contours are accurate. |
Related Questions
How do cars detect traffic signs?5 answersCars detect traffic signs using advanced technologies like Deep Learning and event cameras. Deep Learning, particularly Convolutional Neural Networks (CNNs), plays a crucial role in accurately locating and classifying traffic signs. Event cameras, known for their high dynamic range and temporal resolution, are also utilized for traffic sign detection, either independently or in conjunction with traditional cameras. Different representations of event data, such as event frames and event frequency, are analyzed alongside deep neural networks like FireNet and YOLOv4 for efficient detection. These technologies enable vehicles to extract and process information from road signs, alerting drivers promptly through text or voice commands to enhance road safety.
What are the specific gaze patterns associated with increased anger while driving?4 answersSpecific gaze patterns associated with increased anger while driving include scanning a narrower area and applying a more heuristic processing style, both of which may increase the chance of missing potential hazards in peripheral areas. Anger-provoked drivers also demonstrate shorter initial gazes at less apparent hazards and longer latencies to look back at jaywalking pedestrians obscured by parked vehicles.
How does the use of computer vision, specifically, panoptic segmentation in vehicle count in roadway for traffic engineering?5 answersComputer vision, specifically panoptic segmentation, is being used in roadway vehicle counting for traffic engineering purposes. This approach aims to accurately and efficiently estimate traffic volume and vehicle counts. Traditional methods such as manual counts, computer vision, pneumatic road tube counting, and inductive loops are time-consuming and complex. To address these challenges, a computer vision-based virtual detection zone method is being used. This method involves creating a zone in the frame using coordinates and visualizing it with the OpenCV library. Object detection and classification are performed using a pre-trained YOLOv3 model, and vehicle tracking and counting are done using a sort algorithm. The number of vehicles passing through the virtual detection zone can be used to estimate traffic volume.
What sensors used for car-following?5 answersCar-following vehicles use various sensors for their operation. One common sensor used is the infrared (IR) sensor, which is used to detect obstacles and provide information to the controller. Another sensor used is the linear array image sensor, which is used for side slipping detection and lane line information. Additionally, millimeter-wave radars are used to acquire data on car-following behavior, such as time distance and time-to-collision (TTC). These sensors play a crucial role in ensuring the safety and efficiency of car-following systems.
Does truck need blind spot detection system?4 answersYes, trucks need blind spot detection systems. Accidents involving trucks and cyclists are a significant concern, with severe injuries and fatalities often occurring in right-turning situations. Existing research proposes various methods to address this issue. Tang et al. developed a visual-based blind spot warning system using deep learning, which accurately and quickly detects cyclists, potentially improving cyclist safety. Zhang et al. presented a blind area detection system for trucks based on the YOLOv3 algorithm, achieving real-time detection and improved accuracy. Muzammel et al. proposed two CNN-based approaches for blind-spot collision detection in heavy vehicles, achieving high performance and low false detection rates. Anggraini et al. developed an object detection system using fuzzy logic with the Sugeno method, effectively detecting objects in the blind spot area of dump trucks. Seiniger et al. conducted tests to refine test procedures and requirements for a driver assist system to address blind spot accidents, providing a basis for a potential regulation. These studies highlight the importance of blind spot detection systems in trucks to enhance safety and prevent accidents involving vulnerable road users.
How does the braking system of a car work?4 answersThe braking system of a car works by converting the vehicle's kinetic energy into heat energy through friction. When the brake pedal is pressed, it activates the braking system, which applies opposing torque on the wheel shaft, causing the rotating disc to come into contact with the brake pad. This contact zone experiences mechanical stress due to fatigue, and the resulting friction generates heat at the interface between the rotor and brake pads. This heat can lead to damage such as thermal cracking and thermoplastic instability. To improve the braking system, numerical simulations are used to analyze the mechanical behavior of the disc and pad, considering factors like geometric parameters and mechanical properties. The goal is to identify damages, extend the life of the system, and make it more reliable and resistant to damage. Additionally, there are various braking system designs, such as electric control hydraulic braking and electric power-assisted systems, which provide rapid response, accurate force adjustment, and high stability and safety.