In this paper we propose the snow mobility vehicle in order increase the mobility and decrease the risk of accidents for carry food and medicines on snow bounded areas using unmanned tracked vehicle called as snowmobii 2.0. Our unmanned tracked vehicle can transport Food/medicines as well as Defence in snow bounded areas. This unmanned robot can run in loose as well as hard snow due to it have specific featured technology in base wheel(track wheel system) such as hub with outer seals that improve its durability. The proposed snow mobility vehicle is consist of many sophisticated-designed systems such as navigation system, obstacle detection system, communication system, temperature sensing system. Snowmobii 2.0 is easy to get command and enable significant reduction in losses of many solder’s precious lives due to unavailability of food and medicines at that place.
The positioning of the sensors on vehicle will play a critical role in autonomous cars, it improves the performance of overall system by all the means and make it cost effective by reducing a total system cost. This paper contributes in deciding the best position of camera location on the vehicle with complete geometric and system calculation based on the maximum speed of vehicle, hardware processing speed, camera parameters, actuation and control time, Blind spot detections, maximum Height of objects, etc. The paper presents the technologies and datasets used for lane lines and other object detections. It focusses on newly proposed technique and its calculations to decide the best location of monocular camera sensor on the vehicle by considering all other parameters of autonomous vehicle system. It enhances the performance of overall system as well as reduces the system cost which takes us closer to the futuristic dream of efficient and low-cost autonomous vehicle.
A DIGITALIZED VALIDATION APPROACH FOR REAL TIME AND REMOTE MONITORING OF AN OFF-HIGHWAY VEHICLE PERFORMANCE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- V.JAGANNATHAN@mahindra.com Validation of agricultural tractors is necessary to ensure that these machines perform to their expected potential and are aptly matched with implements. Testing these machineries in real-time while performing activities in the field allows a bigger picture to be seen; the performance data incorporates the effects of many external factors (Soil, Climate etc.). Tractor Performance data apprehending is the vital part of validation. Data acquisition of key performance parameters during field validation in different application/different countries is of utmost importance.
Paper Title - Wiring Harness Optimization towards Wireless vehicle Research and/or Engineering Questions/Objective (maximum 100 words) In current scenario, wiring harness plays a vital role in inter-connecting electrical & electronic components fitted all across the vehicle. As per cable standard, DIN 72551 or ISO 6722, copper conductors being used in stranded wires against cable cross-section & corresponding weight. While going complete wire-less requires each component to have its own battery, ground, transmitter & receiver which indeed is a very costly affair to be employed in vehicle as huge development cost is required. Here I'm suggesting an innovative method to make a vehicle apparently Wire-Less by creating local clusters connected to each other via conventional wiring harness & wire-less module. Such method will apparently give a look of Wire-less vehicle itself & better advantages in terms of installation, service, troubleshooting, uptime & customer delight. Moreover, direct benefits of Cost, Weight, FE will also be achieved.
As we transition towards Internet of Things (IoT) - humans are connected to each other & outside world through the smartphone. Customers tend to use smartphones for varied purposes ranging from communication to entertainment. However, the concern of distraction exists due to poor visibility & accessibility of the phone's screen in driving condition. One of the repercussion of being connected to smartphone particularly in driving condition includes higher number of road accidents due to distraction. This paper explains one of the key initiatives taken by Maruti Suzuki India Limited to address the same.
In recent times, there has been an enormous shift towards automation in Auto as well as Agriculture Industry. Farming is playing an important role in the survival of world. Currently, agricultural industry is facing several challenges. These challenges can be reduced or removed by using automation in the agricultural tools and techniques. Industry 4.0 is the industrial fourth revolution which focused on automations in manufacturing technologies such as cyber physical systems, Internet of Things, artificial intelligence and cloud and cognitive computing. The development and improvement of the connectivity between agricultural tools is leading to significant progress in the agricultural practices. Advancement and automation of the technologies with Internet of Things (IoT), replacing traditional agricultural methodologies which causes wide range of improvements in the fields.
The automotive industry has seen the rise in safety norms and regulation in recent years. Achieving optimum performance and reducing cost while designing the overall system is biggest challenge. AIS -145 is one of the popular norm which will become mandatory after 2020. AIS -145 is park assistance system based upon the proximity sensing application. This paper deals with characterization of ultrasonic transducers for automotive proximity-based sense application. Characterization of ultrasonic transducer is important to achieve optimum performance and functionality of overall system. The objectives of this work is to characterize the ultrasonic transducer for different vehicle environment and sensor parameters. The vehicle environment such as chassis, bumper and sensor mounting location and sensor parameters such as transducer gain, transducer operating frequency, transducer driver threshold has significant effect on the proximity sensor -ultrasonic transducer sensitivity performance.
Battery operated vehicle need accurate management system because of its quick changes in State of charge (SOC) due to aggressive acceleration profiles and regenerative braking. Li-ion battery needs control over its operating area for its safe working. So, the main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SOC, predict degradation parameters, balance individual cells, manage cell temperature, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Model-based Design approach wherein nonlinear behavior of battery is modeled as Equivalent Circuit Model to compute the SOC and degradation effect on battery to decide the end of life of battery, also performing inductive Active balancing on cells to equalize the charge. proposed algorithms communicate with the vehicle ECU through CAN to assist the driver for runtime estimation, time for battery swapping, Alerts.
The automobile industry is moving towards electrification of Vehicle to remove the exhaust gas emissions. A project was undertaken to develop Electric Vehicle control system from concept to vehicle trials in less than a year. The complete development cycle of an electronic controller required to be compressed to prepare mule electric vehicle within timeline. Agile methodology has been used for this project instead of waterfall as other control systems were in developing stage; system requirements were changing frequently. This paper presents the electric vehicle control unit development with agile methodology using model based development (MBD) in MATLAB and Simulink environment. The project flow consists of major phases like design of electrical architecture, system requirements specification, selection and setting up the simulation platform, EVCU strategy development, testing on Model in Loop (MIL)/ Hardware in Loop (HIL), vehicle trials.
Nowadays, Road Load Simulators are used by automobile companies to reproduce the accurate and multi axial stresses in test parts to simulate the real loading conditions. The road conditions are simulated in lab by measuring the customer usage data by sensors like Wheel Force transducers, accelerometers, displacement sensors and strain gauges on the vehicle body and suspension parts. The acquired data is simulated in lab condition by generating ‘drive file’ using the response of the above mentioned sensors. For generation of proper drive file, not only good FRF but ensuring stability of inverse FRF is also essential. Stability of the inverse FRF depends upon the simulation channels used. In this paper, an experimental approach was applied for focused failure simulation of engine mount, one of such low correlation zone, with known history of failure.
The future of mobility is being driven towards fully autonomous driving. As a result, people spend majority of the time in vehicles for chores other than driving. The focus of automotive makers shifts towards providing best-in-class passenger comfort. One of the least focused area in passenger comfort is vehicle interior cleanliness which requires periodic human intervention. An intelligent vehicle can outsmart a human by self-caring to maintain the cleanliness elements on floor, seat and roof. This paper addresses subjects like wetness, dirt and stains in the vehicle interior utilizing the capability of Interior sensing platform. An internally mounted camera in the vehicle can capture images of the interior and apply image processing techniques to identify the subjects mentioned above. The wetness on the floor mats can lead to moldy odor, corrosion, failure of the electronic components in the car.
A miniaturized and sleek protective device M. Priyanka, Mahindra&Mahindra, India D. Boobala Krishnan*, Mahindra&Mahindra, India T.Vijayan, Mahindra& Mahindra, India Keywords-Fuse, Lightweight. Research and/or Engineering Questions/Objective: Now-a-days there is lot of advancement coming in automobiles. Earlier the electronics were used in engine and engine compartment areas. Now all hydraulics and transmission have been operated by electronics. The role of electronics like sensors, actuators increasing day by day for lifting and moving operations. With increase in electronics circuit, there is complex in wiring harness and packaging space for fuse box is premium Limitations: Limitations of placing other devices. Occupy more space and weight in the vehicle. Packing constraint due to vibration and thermal management issues. Methodology: Two different fuse of same rating can be given in one fuse and we can reduce the wire size.
The application in ride and handling development has been mostly subjective or intuitive. Suspension settings are based on the opinions of experts. The product of this research will enable to quantify the performance of a suspension in terms of its ability to minimize the transmission of road irregularities to the chassis and achieve good mechanical grip with the road surface. This work presents a dynamical analysis of the transmissibility of an off-road vehicle suspension, developed in VIT Vellore for Baja SAE India competition. A baseline spring rates curve for ride is developed to provide a solid foundation to tune from. The shock absorbers used for testing are Fox Float Evol R air shock absorbers with progressive damping. A thorough data acquisition of the force curves for shocks from a test rig is done. A detailed characteristic of the air shocks is obtained at various loading conditions. The basic damping curve is modified towards the desired ideal nature with the data obtained.
Vision based solution for auto- maneuvering of vehicle for emerging market: Author/Co-Author: Singh Ashwani, SDV Ram Kumar, Bose Souvik, Lalwani Chandraprakash General Motors Technical Centre India Key words: Image Processing, Gap finding, virtual/Imaginary lines, Advance Driver Assist System (ADAS), Vehicle to vehicle(V2V)/Vehicle to Infrastructure(V2I/V2X) Research & Engineering Objective: For the various levels of autonomous, the current perception algorithms involve considerable number of sensor inputs like cameras, radars and Lidars and their fusion logics. The planning route for the vehicle navigation is done through map information which is highly volatile and keep changing many at times. Existing steering assist feature during a curve is available by combining additional driver monitoring camera & 360 degree camera. The complexity is very high in the implementation and computation of these algorithm. These solutions are not cost-effective for emerging markets.
In this paper, we will detect and track vehicles on a video stream and count those going through a defined line and to ultimately give an idea of what the real-time on street situation is across the road network. Our major objective is to optimize the delay in transit of vehicles in odd hours of the day. It uses YOLO object detection technique to detect objects on each of the video frames And SORT (Simple Online and Realtime Tracking algorithm) to track those objects over different frames. Once the objects are detected and tracked over different frames a simple mathematical calculation is applied to count the intersections between the vehicles previous and current frame positions with a defined line. At present, the traffic control systems in India, lack intelligence and act as an open-loop control system, with no feedback or sensing network. Present technologies use Inductive loops and sensors to detect the number of vehicles passing by.
Objective: The Objective of the research is to detect drop in level of pressure in the wheel with respect to nominal pressure using data obtained from speed sensors. The research discusses the standard procedure of experimentation to obtain data which eventually used to produce results. This procedure is taken from principles Design of Experiments. Statistical tools are used to analyze and give determining factors for pressure variation. Methodology: To study idea, we made use of two-wheeler platform and collected data of wheel speed sensors on both wheels. The idea is when there is any change in tire pressure the radius of the wheel also changes and usually this relation is direct. Hence, change in tire pressure changes the angular velocity of the wheel. In this approach wheel speed sensors are used to measure the angular speed for standard and reduced pressure conditions.
Every year, the U.S. experiences more than 32,000 traffic deaths and over 3.8 million crash injuries. While the trend in traffic deaths has been downward for the past decade, most of this reduction has been the result of optimizing passive occupant crash protection systems such as seatbelts and airbags. Advanced driver assistance systems (ADAS) now offer the potential to significantly reduce or eliminate most vehicle crashes by perceiving a dangerous situation before the crash has occurred and taking action to avoid or mitigate the crash.