The road conditions like pot holes, un marked speed breakers and oil spills shall be detected by a system using cost effective sensors like accelerometers, infra-red sensors, laser sensors, vision based sensors. The output shall be a system architecture and software algorithm for identification of the above road conditions.
Many of the frontal collisions on highways are due to slow response of drivers and not many systems are in place to warn the driver about an impending frontal collision. In addition to this, during adverse weather conditions the visibility gets affected, which affects the sensor and the system responses. The participants shall develop the system (architecture and software) using cost effective sensors to ensure safety of the host vehicle while driving on highways.
Accidents in heavy commercial vehicles occur mainly due to the failure of Drivetrain system, chassis, brakes and tires. To avoid breakdown of the above mentioned systems, the participants shall develop software algorithms for online prognostics to monitor the health of the above systems. The typical components that can be considered for the demonstration purposes are ‘Drive Shaft, Axle, Brakes and Tires’.
Indian operation patterns and duty cycles are heterogeneous and complex and require huge experimentation to ensure durability and reliability of the vehicles. Robust methods and algorithms need to be developed to evaluate data which can be further used as input for new vehicle design and development.
Participants shall use this data to come up with algorithms for post processing and further performance evaluation. Algorithms shall be generic in nature
Metallurgical Analysis is conducted on various Automobile components to determine the probable cause of its Failure. ARAI contains extensive information about various automobile components with respect to their Metallurgical properties & also available with Micrographs. The participants shall develop software algorithms for assessment of Micrographs with view of Predicting the Probable Failure Cause of Automotive Components & the future Prospects. Analysis of Correlation & discovery of pattern