The Challenge envisages developing a working unit of a ‘driverless car’ for Indian conditions. Applicants will be required to develop and demonstrate such a car first for ‘controlled environments’ such as campuses, followed by an intra-city situation. Applicants can assume that the vehicle will drive on paved roads
The ‘challenge’ is to develop and demonstrate a driverless car working model that is :
• Built on the e2o or XUV5OO platform
• Suitable for Indian roads and driving conditions
• Affordable to build and operate
• Scalable to different platforms
• Clean, green and connected
• Meets functional safety requirements
• Adaptable to special applications – e.g. differently-abled users
Navigation: Monitoring and controlling the vehicle's motion which includes estimation of it's position and velocity.
Lane Detection: Detecting the driving lane boundaries in the 3D world coordinates relative to the vehicle. Provided the lane markings are visible and that their detection is not hindered(clutter,shadows,rain,snow or any other disturbance on the road),the Lane Detection Algorithm recognizes majority of lane markings
Path Planning:Finding a collision-free path amidst obstacles from its starting position to its destination
Object Detection: In the context of Intelligent Vehicle Systems,obstacle detection is an essential task.It must be performed in real time,robustly and accurately,without any false alarm and with a low failure rate.
Localization: After detecting the obstacles present in the surrounding,the essential task is to predict the position of the vehicle in the detected environment accurately.GPS/INS,encoders and various other sensors are being used for this purpose.
Image Processing: Image provides the maximum number of features from the environment to build the map. It consists of lane data, road data, vehicles, pedestrians, traffic lights and signals. Various novel methods like visual odometryand Scale Invariant Feature Transforms are being applied.
March 30, 2017
UMIC receives a Mahindra E2o model to test its driverless car technology. This has been given to the top 11 teams out of 259.
October 17, 2016
The day of launching India's first successful prototype of driverless car
We are ready with our first prototype and completed the deliverables of stage 1. Currently we are developing codes for stage 2.
The presentation of whole startedgy infront of jury
January 9, 2015
The Approach Note is a more detailed description of your innovation and will help the jury evaluate your participation in further rounds.
Innovation Cell, IIT Bombay applies for the Mahindra RISE Driverless Challenge and evaluated.