Refine Your Search

Search Results

Technical Paper

Driver Risk Perception model under Critical Cut-in scenario

2018-08-07
2018-01-1626
In China Cut-in scenario is quite common on both highway and urban road with heavy traffic and usually has a certain risk. While, research on the driver’s risk perception of Cut-in scenario is few. When facing a cutting-in vehicle, driver tends to brake in most case. The timing and dynamic characteristic of driver’s brake maneuver is the direct indicator of driver’s subjective risk perception. The objective risk evaluation factors include TTC (Time to collision), THW (Time Headway), longitudinal relative distance and lateral relative distance et al.. This paper aim at building a model quantitatively revealing the relationship between drivers’ subjective risk perception and the objective risk evaluation factors. Data is from China-FOT database, which has a travel distance about 130 thousand miles. It is found that in Cut-in scenario, driver tends to brake when the cutting-in vehicle right crossing line, and this time point is defined as initial brake time t_IB.
Technical Paper

Research on the Development Trend of Brain Controlled Cars

2018-08-07
2018-01-1587
A brain controlled car is an application of brain controlled technology in on-road motor vehicle. Driver can take control of a car by his electroencephalogram (EEG) to move forward, accelerate, as well as turn the steering wheel, and so on. The purposes of the studies on brain controlled car are in one hand to offer a completely new driving style and make people with physical disability to drive a car possible, and in the other hand to use the brain controlled technology as one of the advanced driver assistant methods, to make the driving experience more safe, more comfortable, more intelligent and more compliant to the driver’s intention. This paper summarizes the research status of brain controlled car technology based on both publicly released demo cars and academic articles. The car’s actions that brain controlled, the technology implementation roadmaps, and the major research directions are mainly researched.
Technical Paper

Lane Detection System for Night Scenes

2018-08-07
2018-01-1617
Most of algorithms of lane detection mainly aim at the scene of daytime. However, the camera is very sensitive to the light which causes such algorithms are unstable for the lane detection at night. This paper proposed a lane detection algorithm that largely improves the lane detection’s performance when it used at night. Step one is image processing. According to the feature of lane’s color, we focus on the image’s white and yellow parts and transform the original image to grayscale image. When the image’s value of grayscale is relatively small, an image enhancement method will be used to improve the contrast between lane line and road. Then, extracting a region of interesting from image (ROI) according the fixed location of camera mounted inside the car. In ROI, we used a creative algorithm named Correlation filter to remove image noise and remain the feature of lane. In step one, the filter matrix looks like “[0 1 1;-1 0 1;-1 -1 0]”.
Technical Paper

Application Oriented Testcase Generation for Validation of Environment Perception Sensor in Automated Driving Systems

2018-08-07
2018-01-1614
Validation is one of the main challenges in development of automated driving systems. Due to the complexity of these systems and the various influence factors on their functional safety, current testcase generation methods can hardly guarantee the completeness of the validation on system level. Separate validation of system components according to the requirements from system is a way to make system approval possible. In this paper, an approach is presented to generate deductively testcases for the validation of the environment perception sensors, one of the most essential components of automated driving systems. This approach starts from the model-based testing method, which is commonly used to validate software-based systems, and is extended by considering various external influence factors as follows: By modeling and analyzing each application in automated driving systems, the application oriented usecases of perception sensors are first derived.
Technical Paper

Road Sign Recognition System Based on Wavelet Transform and OPSA point Set Distance

2018-08-07
2018-01-1609
Abstract: Signage recognition is one of the hot topics in recent years. It has important applications in intelligent traffic and autonomous driving of smart cars. This paper designs a road marking recognition method combining OPSA point set distance and wavelet transform. The method consists of three main phases: 1) image denoising, restora-tion, 2) feature extraction, and 3) image recognition. First, a Gauss-ian-smoothing filter used to attenuate or remove irrelevant information in the image, enhance related information in the image, and achieve image denoising. In the feature extraction stage, the feature extraction and recognition method based on wavelet transform adopted to overcome the deficiency of the traditional Fourier feature extraction method, ensure that high frequency information is not lost, and low frequency information is not lost. Finally, the OSPA point set used to identify distance markers.
Technical Paper

Embedding CNN-Based Real-Time Obstacles Detection for Autonomous Vehicles

2018-08-07
2018-01-1622
Forward obstacles detection is one of the key tasks in the perception system of autonomous vehicles. The perception solution differs from the sensors and the detection algorithm, and the vision-based approaches are always popular. In this paper, an embedding real-time obstacles detection algorithm is proposed to efficiently detect forward diverse obstacles from the image stream captured by the monocular camera. Specifically, our algorithm contains three components. The first component is an object detection method using convolution neural networks (CNN) for single image. We design a detection network based on shallow residual network, and an adaptive object aspect ratio setting method for training dataset is proposed to improve the accuracy of detection. The second component is a multiple object tracking method based on correlation filter for the adjacent images.
Technical Paper

Evaluation and Optimization of Driver Steering Override Strategy for LKAS Based on Driver’s Acceptability

2018-08-07
2018-01-1631
In order to satisfy the design requirements of Lane Keeping Assistance System (LKAS), a driver steering override (DSO) strategy is necessary to deal with the driver’s interaction with the system. And the system can be overridden by the strategy in case of lane change, obstacle avoidance and some other emergencies. However, evaluation and optimization of the DSO strategy for LKAS cannot easily be completed quantitatively in consideration of driver’s acceptability due to the lack of a reliable process. In this research, firstly, subjective and objective evaluation experiment is designed. To be specific, for the objective evaluation experiment, several objective characteristic indices (CI) are extracted to describe the outward performance of DSO strategy such as the steering hand torque instead of using the parameters from a certain type of controller.
Technical Paper

Analysis of Human Machine Interaction Program in Lane keeping Assist System based on Field Test

2018-08-07
2018-01-1632
Lane keeping assist system (LKA) alerts the driver or intervenes in the driving when the vehicle deviates from the lane. But its effect is highly dependent on the driver's acceptance. Distance to Lane Crossing (DTLC) and Time to Lane Crossing (TTLC) are two important factors to consider the danger level of the scenario, which are also two references for drivers to make decisions. At present, most of the functional design standards are based on these values, while they often differ for different vehicle movements. This study uses a driving robot to precisely control the test conditions and performs field tests on two advanced autonomous vehicles in National Intelligent Connected Vehicle (Shanghai) Pilot Zone. The test conditions are extended based on various test standards and the LKA performance of vehicles in the pre-experiment.
Technical Paper

Passenger car 25% overlapping rate collision accident study base on CIDAS

2018-08-07
2018-01-1595
With vehicle technologies development,vehicle safety is much better than before, many companies put research focus on harder accident scenarios. 25% overlapping rate collision is considered as one type of most dangerous collision,this paper study this type accidents base on China In-Depth Accident Study (CIDAS) database. this database include more than 4000 cases in China. We study the accident contents from impact characteristics, human injury, seat position, injury causing part,and dirver behaviours. the paper can help researcher to create scenarios to test the ADAS technology in China and promote ADAS system.
Technical Paper

Study on the Controlled Filed Test Scenarios of Automated Vehicles

2018-08-07
2018-01-1633
The controlled filed test is an essential part of evaluation methods to verify the safety, intelligence and comfort of automated vehicles. Due to the complex, dynamic and large masses of real-world traffic situations, it is very important to generate critical test scenarios with a limited number and a wide coverage, which could evaluate the function features and performance of automated vehicles at different intelligent levels. In this paper, we propose a method to form the basic driving condition group based on function features of level 2 and level 3 automated vehicles, through the permutation and combination of all possible relative position and movement relationships between ego-vehicle and surrounding vehicles in accordance with different traffic conditions and weather types.
Technical Paper

Semantic Segmentation with Inverted Residuals and Atrous Convolution

2018-08-07
2018-01-1635
Semantic segmentation has become a fundamental topic in the field of the computer vision, whose goal is to assign each pixel in the image to the corresponding category label. This topic is of broad interest for potential applications of automatic driving. Recently, modern frameworks of semantic segmentation are mostly based on the deep convolutional neural networks. And the general trend focus on increasing the accuracy of the framework, but at the cost of bringing extra parameters and making the network more complicated, which makes the network hard to implement on the vehicle mobile and embedded devices with limited computational resources. In this paper, a novel architecture is developed based on Inverted Residual and Atrous Convolution, in the sense that not only computation cost can be drastically reduced, but also high accuracy can still be maintained.
Technical Paper

Developmental driver model based on preview-follower theory

2018-08-07
2018-01-1629
Understanding human drivers and modeling their behavior are two major functions of driver model. Whatever role of the driver model has gone through the process from simplicity to comprehensive. This paper proposed a conception of driver preview eccentricity to develop the driver model based on preview-follower mainly for modeling their behavior. The developmental driver model is significant for long vehicle, particularly for multi-axle vehicle. Almost all drivers have the feeling that it's more difficult to control a long vehicle than a short one. However, the main reason for this phenomenon is the driver's preview eccentricity. When we control a vehicle to a target point or follow a trajectory, we are acquiescently expect the vehicle's centroid to reach the target point or follow the trajectory virtually. But it is often difficult for a driver to estimate the position of the centroid of a long vehicle, especially for a novice driver.
Technical Paper

Effect of Gear Shift Indicator Technique Enhancing Improved Fuel Economy on SUV

2018-07-09
2018-28-0054
Abstract Improving the fuel economy of the vehicle resulting in energy conservation on long run is a challenging task in the automotive field without compromising the emission margins. Fuel economy improvement by effective driving is the main focus of this paper by the proper utilization of gears which can enable good fuel economy even when the vehicle is driven by different drivers. GSI technique was implemented on Sports utility vehicle operating with 2.2 l engine. Tests were carried with GSI and the effect of fuel consumption and emissions were compared to the regular driving cycle. Optimization of various gear shifting points were analyzed and implemented for better fuel economy keeping the drivability in mind, meeting the BS4 emission norms comfortably. The experiments were carried out in both cold and hot conditions to check the effect of GSI and positive results of fuel economy improvement was yielded.
Technical Paper

Friction Stir Welding of Aluminum 6082

2018-07-09
2018-28-0051
Abstract Friction Stir Welding (FSW) overcomes many of the problems associated with traditional joining techniques. F SW is a solid-state process which produces welds of high quality in difficult-to-weld materials such as aluminum and is fast becoming the process of choice for manufacturing lightweight transport structures such as boats, trains and aero planes. A rotating cylindrical tool with a profiled probe is fed in to a butt joint between two clamped workpieces, until the shoulder, which has a larger diameter than the pin, touches the surface of the workpieces. The probe is slightly shorter than the weld depth required, with the tool shoulder riding at the top of the work surface. In this dissertation two Aluminum 6082 plates were joined with friction stir welding technique. The primary objective of this work is to study the effect of root gap and variation in tool speed on the properties of base metal i.e. AL6082.
Technical Paper

Comparative Studies of Different VGT Designs on Performance and Smoke of CRDe Engine

2018-07-09
2018-28-0074
Abstract Diesel engines have occupied a significant position in passenger car applications in the present automotive sector. Turbochargers find a very prominent role in diesel engines of all applications in order to achieve desired power and better fuel economy. Gaining higher torque at lower engine speeds with low smoke levels is a very tough task with fixed geometry turbochargers due to availability of lower air mass resulting in higher smoke emissions. Variable geometry turbochargers are capable of providing better torque at lower speeds and reduced smoke emissions on Common Rail Diesel engines. The Variable Geometry Turbocharger types used in this study are straight profile nozzle vanes (sample A) and curved profile nozzle vanes (sample B). The curved profile vanes as seen in sample B results in reduced variation of circumferential pressure distortions.
Technical Paper

Exhaust Emissions Reduction from Neat Biodiesel Operated Diesel Engine Using Catalyst Coated Piston and Antioxidant Additive

2018-07-09
2018-28-0053
Abstract The limited work has been done so far using neat biodiesel in the diesel engine since it drastically reduces the brake thermal efficiency and emitting higher amount of oxides of nitrogen. Hence in the present investigation an attempt has been made to use neat biodiesels in DI diesel engine on par with diesel fuel with some alternate methods that have to be incorporated to improve the efficiency and to reduce oxides of nitrogen emission. The biodiesels used for the present investigation are nerium, mahua and calophyllum. The top of the piston is coated with ZrO2 catalyst in order to improve the performance of the engine. Further, 200 mg of L-ascorbic acid antioxidant additive is added to the neat biodiesels to improve the oxidation stability and to reduce the oxides of nitrogen emission. Experiments were conducted in a single cylinder four stroke diesel engine to find the performance and emission characteristics.
Technical Paper

Design and Optimization of Steering Upright to Reduce the Weight Using FEA

2018-07-09
2018-28-0081
Abstract Steering upright is that part of suspension system which contains the wheel hub, and attaches to the suspension components. It is the pivot point of the steering and suspension system, which allows the front wheels to turn & more. Considering it for double wishbone suspension geometry lightweight and low fuel consumption are fundamental demands for a vehicle, especially for a racecar. This paper focuses on design optimization of steering upright (steering knuckle) targeting weight reduction with required strength and stiffness. Optimized design of upright is mandatory with appropriate material selection as well as valid finite element analysis. Optimization was performed considering static analysis of stress, strain and total deformation along with the suitable material selection. Material selection was performed by considering various parameters. In the present work, the design process is accomplished by Solidworks and analysis was performed using Ansys software.
Technical Paper

Modelling and Simulation of Main Battle Tank to Stabilize the Weapon Control System

2018-07-09
2018-28-0078
Abstract This study is focused on development of an integrated elevation and azimuth dynamics of an electrically driven weapon platform. Initially, the elevation dynamics of the weapon system, driven by an electric drive consisting of 5 degrees of freedom, is developed. The azimuth drive of the weapon dynamics, governed by turret rotation, is subsequently incorporated in the same model. The weapon dynamics math model has been integrated with a 17 degree of freedom ride math model of a 14-stationed tracked vehicle. Ride mathematical model will be subjected to road excitation such as Aberdeen Proven Ground (APG) input. Predetermined torque input to aim the main gun at desired location, as well as outputs obtained from the ride math model, such as bounce, pitch and roll of the sprung mass (hull) is given to elevation and azimuth drive.
Technical Paper

Experimental Field Performance Analysis of Small Weed Remover in Sugarcane Grassland

2018-07-09
2018-28-0063
Abstract Agriculture is a backbone of country’s economy. To increase the crop production efficiency weeds are to be removed. The present weeding machines are different in dimension which may not be suited to small and medium field farmers, due cost effectiveness and dimensions. This work presents the development of sugarcane weed remover (SWR) and its performance investigation to improve the weed removal rate. The SWR is an application specific machine, it consists of single cylinder air cooled gasoline engine, blade assembly and transmission system. In order to improve SWR efficiency different blade profiles are theoretically analysed. The optimised blade profile is employed in the weed remover which offers fuel consumption of 0.11 g/(KW.h). The SWR on-field experience confirmed that the field capacity and efficiency in weeding is 0.0025 ha/hr and 60% respectively.
X