1. IOT AND SELF DRIVING CARS A REVOLUTION
BEYOND THE AUTOMOBILE INDUSTRY.
Guided by,
Er. Manu Remanan
Presented by
Gokuldas H
S7 ME-A
Roll no: 56
3/10/18
2. CONTENTS
• Introduction
• The Future of Autonomous Cars
• Technologies Being introduced.
• System integration and architecture.
• Human Factors and functional safety.
• Infrastructure
• Societal consequences
• Consumer views
• Legal aspects
• Impact on industries
• Obstacles
• Conclusions
3. Vehicular Automation.
• Vehicular automation involves the use of
Mechatronics
Artificial intelligence
Multi Agent System
to assist the vehicles operation.
These features and the vehicles employing them may be
labeled as intelligent or smart.
4. Introduction
• An autonomous car is an autonomous vehicle capable of
fulfilling the human transportation capabilities of a traditional
car.
• As an autonomous vehicle, it is capable of sensing its
environment and navigating without human input.
6. • The FIRST phase only includes safety features as the warning
of imminent accident.
• The SECOND phase has the car with the ability to park and
maintain the car in controlled conditions.
• The THIRD phase will permit the car to fully drive itself but the
driver has to be in his place and to take control in case of an
emergency.
• The FORTH phase has all cars on the road fully autonomous
with no human interventions needed when driving, the Self-
Driving Car. It is foreseen between 2022 and 2026.
8. Technologies being introduced in cars an
potential improvements for the next years
The first and foremost technology advancements should be
made in creation of robust and reliable sensor network which
will be part of a larger constellation of technologies that include
• Light detection and ranging (lidar),
• Radar
• Advanced camera technologies
• GPS
• Laser scanner
LIDAR
9. Did you Know?
Approximately 4,000 GB of data will need to be
processed each day in the cars real time operating
system.
10. System Integration and Communication
architecture
Development of centralized and decentralized architecture for
real time assessment and actuation at low power and low
computational efforts with redundancy which includes different
aspects such as: - Vehicle - VRU communication; Data integrity;
Negotiation between cars & cars and others; Embedded HW
system architecture
11. Human factors and functional safety
• Augmented reality
• Intention recognition external traffic members
• Driver status monitoring system (model, bio sensors)
• Fail safety of the system
• Fail operationally of the systems.
12. INFRASTRUCTURE
• Wireless secure sensor connections to infrastructure
• Dynamic mapping
• Ubiquitous position
• Reliability in critical situations
Software companies like Cisco, Google, Apple, Microsoft,
AdasWorks, Cruise – Integrating their products with in-vehicle
system for developing solution for intelligent surround view
system, pedestrian detection and tracking, convolutional
neural networks.
18. COEXISTENCE OF TRADITIONAL CARS AND SELF-
DRIVING CARS: - AN EVOLUTIONARY PERSPECTIVE
Cars will progressively become automated and they have to
coexist between them and with conventional cars as those
billions on the streets these days.
19. Potential obstacles
• Liability for damage
• Resistance for individuals to forfeit control of their cars
• Software reliability
• Cyber security
• Implementation of legal framework
• Loss of driver -related jobs
• Loss of Privacy
20.
21. Proposal for the near future of Mobile
Transportation
Adaptive gear for Autonomous or conventional cars.
Instantaneous acceleration
Heading
Next turn
22. Conclusions
• In this context it is addressed the transition from the current
state of practice to the next future challenges, and in
particular, the coexistence of the existing cars with the new
generations of cars. In this paper are presented some
technological solutions that can mitigate some of the
identified problems and provide solutions towards such
coexistence where the potential of the new generation is
partly matched by the proposed improvements for the old
generation of most of the cars on the road these days
23. REFERENCES
• “Dr. Dieter Zetsche - Mercedes-Benz - KEYNOTE 2015.”
[Online]. Available:
https://www.youtube.com/watch?v=cMmYFx e6O-I.
[Accessed: 21-Apr-2016].
• “Autonomous Cars Could Save The US $1.3 Trillion Dollars A
Year.” [Online]. Available:
http://www.businessinsider.com/morganstanley-
autonomous-cars-trillion-dollars2014-9?IR=T. [Accessed: 05-
Apr-2016].
• Intel Corporation, “Technology and Computing Requirements
for Self-Driving Cars,” p. 4, 2014.