With increasing time spent in vehicles for commuting, digital savvy consumers of today demand higher interaction, productivity, entertainment, connected features and safety while in a car. With this shift, cockpits and connected services are poised to offer more immersive, seamless digital experience focusing on comfort, convenience and personalization.
KPIT developed Vehicle Mobile Application
KPIT’s Digital Cockpit platform
AI/ML powered Data Analytics platform (KPIT’s Asset Management Platform)
KPIT’s Remote SW management
Alexa Integration for Remote Activation of Feature on Demand ( ex- Subscription based ADAS features)
Vehicle Digital Twin
We would like to show how these solutions create a unified connected experience to improve the mobility experience for the end consumers.
Let’s take an example of John and Mary, who live in the US and own an electric SUV with many software features that can be enabled on demand. They are planning a weekend trip to Chicago and by using KPIT’s Connected Car Solutions, we will walk you through multiple use cases showing how their experiences have been improved.
To understand the innovations, we will look at the two scenarios while the couple plans the weekend trip sitting at Home and later embarks on the journey in their car.
In the Home scenario, John and Mary listen to their favorite songs.
John, curious and wanting to ensure the trip is well planned, wishes to understand the vehicle’s health
while at home. John prefers to do so through Alexa ECHO at his home (a virtual assistant technology by
Amazon).
John looks at the vehicle health report on KPIT developed Vehicle Mobile App. As part of the vehicle health report, John learns more about diagnostics parameters, tire pressure and battery charge. John also gets an AI/ML-powered personalized Driver Behavior analysis report based on his past driving experience with a recommendation to enable the lane keep assistant feature (due to alerts on lane discipline, harsh cornering, and harsh braking).
The Vehicle Mobile App also offers a provision for John to enable the lane keep assistant feature from the mobile in addition to through Alexa, along with a few other provisions to action like ‘reminder to fill tire pressure’ or ‘to visit nearest service station’.
KPIT brings its own AI/ML powered Data Analytics platform for predictive maintenance powered by AWS Cloud. An out-of-the-box readily integrable solution is available in a white box model adaptable and customizable as per client requirements.
Based on the recommendations in Driver Behavior analysis, John decides to purchase the lane keep assistant feature for his weekend trip.
At the backend, Alexa interacts with the OEM’s digital cloud and invokes OTA API to trigger a campaign on the cloud. KPIT’s Remote SW management (RSM) – OTA platform deploys SW packages to the assets (vehicle cockpit in this case). KPIT’s RSM is the foundation of the Software Defined Vehicle and meets the Regulatory Compliances (WP.29, ISO 21434, and ISO 24089).
Let’s look at the Vehicle side scenario.
As John and Mary enter the vehicle, the driver recognition system integrated into KPIT’s Digital Cockpit platform, KONFLUENCE recognizes and greets John. KPIT has expertise in deep learning modules for advanced face recognition and land marking tracking. The personalized settings for John, HVAC temperature, in this case, are auto applied as cockpit recognizes John. John’s preferred setting of HVAC temperature is learnt over a period based on Ambient temperature, Body temperature and Heart rate sensor data collection. HVAC temperature is automatically set based on the sensor data learning as John enters car. KPIT also has the expertise to build smart cabin personalization in an HPC environment using ML algorithms.
As John and Mary proceed further, they are prompted with a message on the cockpit screen asking permission to enable the LKA feature, which John has purchased while at home. After John provides permission, the LKA feature gets enabled, and the LKA icon appears on the cockpit screens
KPIT’s RSM ensures the security and traceability of the payloads coming into the vehicle, irrespective of the OEM’s technology stack. KPIT’s OTA update solution supports both Azure and AWS cloud.
KPIT brings capabilities required for diagnosing HPC software and offers a cloud-based predictive diagnostics/remote repair platform that enables real-time acquisition and monitoring of software operations to diagnose the failure and rectify it as needed.
KPIT’s Digital cockpit platform, KONFLUENCE, enables multiple entertainments, information, and commerce use cases integrated on Qualcomm’s latest 8295 board. KONFLUENCE supports various use cases such as wireless Android Auto, CarPlay, Siri on CarPlay, Cluster HMI, IVI (In-vehicle Infotainment) and HUD (Heads Up Display).
As John and Mary proceed further, they are prompted with a message on the cockpit screen asking permission to enable the LKA feature, which John has purchased while at home. After John provides permission, the LKA feature gets enabled, and the LKA icon appears on the cockpit screens
Plot Number-17,
Rajiv Gandhi Infotech Park,
MIDC-SEZ, Phase-III,
Hinjawadi, Pune – 411057
Phone: +91 20 6770 6000
Frankfurter Ring 105b,80807
Munich, GERMANY
Phone: +49 89 3229 9660
Fax: +49 89 3229 9669 99
