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Book ChapterDOI

Semi-autonomous Vehicle Transmission and Braking Systems

01 Jan 2021-pp 29-38
TL;DR: In this paper, a semi-autonomous system which can be used in small electric vehicles has been built by operating a part of the transmission system and brake as automatic and rest as manual.
Abstract: In recent times, advancement in the automotive field has made major difference in the evolution of car over a decade. This evolution has made vehicles to move without a driver, and the vehicle performance has improved drastically. As autonomous vehicle is the future mode of transportation, nowadays, it plays a major role in research and development of an automotive industry. In this work, a semi-autonomous system which can be used in small electric vehicles has been built by operating a part of the transmission system and brake as automatic and rest as manual. In this system, the clutch, accelerator, and brake system are made to work automatically by predicting the obstacles using ultrasonic sensors. The shifting of gear alone is done manually. This system is built using a Bajaj CT100 engine, transmission systems, and drum brake. The engine power is transferred to the wheel through a modified transmission system. A Raspberry Pi controller and Python coding are used to control the system. By using an ultrasonic sensor, obstacles are detected, and according to the obstacle distance, the system will be made to start and run.
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Journal ArticleDOI
TL;DR: An automatic braking system for collision avoidance will be proposed based on a formulated brake-initiation model and a deceleration pattern and it will be shown that the proposed system can generate a smooth profile and realize secure brake patterns based on the drivers' subjective evaluation.
Abstract: Expert drivers' deceleration patterns in last-second braking will be formulated using a perceptual risk index for the approach and the proximity of a preceding vehicle as examples of comfortable braking patterns. It will be shown that the formulated braking pattern can uniformly generate a smooth deceleration profile for many approach conditions. In addition, the brake initiation timing of expert drivers will be successfully formulated using a modified index. Finally, an automatic braking system for collision avoidance will be proposed based on a formulated brake-initiation model and a deceleration pattern. Twenty five expert drivers will experience the automatic braking that is installed in an experimental car. It will be shown that the proposed system can generate a smooth profile and realize secure brake patterns based on the drivers' subjective evaluation.

58 citations

Proceedings ArticleDOI
01 Oct 2013
TL;DR: A vehicle recognition algorithm based on radar and vision sensors is proposed with the application to automatic emergency braking to improve the false detection and the performance of the proposed algorithm is validated via the field test data.
Abstract: In this paper, a vehicle recognition algorithm based on radar and vision sensors is proposed with the application to automatic emergency braking. While the commercial radar detects both vehicles and road infrastructure including guardrail and tunnel, in general it does not distinguish between a vehicle and a non-vehicle object. Furthermore, it is well known that while it provides relatively coarse accuracy in the lateral (or azimuth) direction although the accuracy of the radar is high in longitudinal (or radial) direction. These characteristics of radar may cause false detection of a primary vehicle, i.e. the closest preceding vehicle in the same lane, thus resulting in false activation of automatic emergency braking. To improve the false detection, a vehicle recognition method based on shape and motion attributes is suggested. The motion attribute is designed to determine whether the object is either stationary or dynamic and the shape attribute aims to identify whether the objective is a vehicle or not by sensor fusion. Finally, the performance of the proposed vehicle recognition algorithm is validated via the field test data.

40 citations

Journal ArticleDOI
TL;DR: An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles, and results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.
Abstract: Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.

14 citations

Journal ArticleDOI
TL;DR: In this article, a new traction control system using the integrated control of gear shifting and throttle actuation is developed for vehicles with automatic transmissions, which can improve the acceleration performance of an automatic transmission vehicle for various types of road conditions.
Abstract: A traction control system (TCS) is used to improve the acceleration performance on slippery roads by preventing excessive wheel slip. In this paper, a new traction control system using the integrated control of gear shifting and throttle actuation is developed for vehicles with automatic transmissions. In the design of the slip controller, by means of a differential manifold transformation, a slip control system with nonlinearities and uncertainties is transformed into a linear system, and a sliding mode controller is applied for the purpose of increasing the robustness of the system. Next, to achieve the required driving torque, the optimal throttle and gear position, maps are constructed based on dynamic programming. The simulation results indicate that the present traction control system can improve the acceleration performance of an automatic transmission vehicle for various types of road conditions.

11 citations

Journal ArticleDOI
TL;DR: In this paper, a sensor installation guideline for a 4R automatic transmission is presented, which helps to visualize different possible combinations of sensors and their locations such that all malfunctions are monitored.

11 citations