Development of Leading IC Brands in Smart Vehicle Applications (pre-order)
Due to growing maturity of IoV (Internet of Vehicles) and active safety technology such as advanced driver assistance systems, several leading IC brands have jumped on the bandwagon. Given the unique characteristics of the supply chain and strict requirements for safety and reliability in the automotive industry, most of these IC brands have chosen to work with leading carmakers to reduce entry barriers. Developing their own technology and ecosystems has thus become an important strategy for both parties. This report analyzes product development and strategies of leading brands, including Intel, Nvidia, Qualcomm, and MediaTek, in the smart vehicle market.
List of Topics
Audi
BMW
Bosch
Buggy TLC Rentals
Canoo
Champion Motors
Continental AG
Didi Chuxing Technology
Eonite Perception
Faraday Future
Ford
General Motors
Gett
Here
Intel
Lyft
MediaTek
Mercedes-Benz
Mobileye
Moovit
Nvidia
NXP
Optimus Ride
Pony.ai
Qualcomm
RATP
SAIC Motor
Telsa
TuSimple
Uber
Volkswagen
XPen Motors
Zoo
List of Topics
- Development of four leading IC brands in smart vehicles, including Intel, Nvidia, Qualcomm, and MediaTek
- Overview of the strategies of these IC brands’ new product development that solve challenges and create opportunities
Audi
BMW
Bosch
Buggy TLC Rentals
Canoo
Champion Motors
Continental AG
Didi Chuxing Technology
Eonite Perception
Faraday Future
Ford
General Motors
Gett
Here
Intel
Lyft
MediaTek
Mercedes-Benz
Mobileye
Moovit
Nvidia
NXP
Optimus Ride
Pony.ai
Qualcomm
RATP
SAIC Motor
Telsa
TuSimple
Uber
Volkswagen
XPen Motors
Zoo
1. CURRENT STATUS OF SMART VEHICLES
2. INTEL IN SMART VEHICLE APPLICATIONS
2.1 Mobileye EyeQ Chips
2.2 Cooperation with Transportation Operators
2.3 Increased Focus on Image Sensing
2.4 Expansion into MaaS (Mobility-as-a-Service) Market
3. NVIDIA IN SMART VEHICLE APPLICATIONS
3.1 Chips and Platforms for Self-driving Cars
3.2 Cooperation with Carmakers
4. QUALCOMM IN SMART VEHICLE APPLICATIONS
4.1 C-V2X Chips
4.2 Snapdragon Ride Platform
5 MEDIATEK IN SMART VEHICLE APPLICATIONS
5.1 Telematics System
5.2 Smart Cockpit System
5.3 Vison-based ADAS
5.4 Automotive mmWave Radar
6. CONCLUSION
Appendix
List of Companies
2. INTEL IN SMART VEHICLE APPLICATIONS
2.1 Mobileye EyeQ Chips
2.2 Cooperation with Transportation Operators
2.3 Increased Focus on Image Sensing
2.4 Expansion into MaaS (Mobility-as-a-Service) Market
3. NVIDIA IN SMART VEHICLE APPLICATIONS
3.1 Chips and Platforms for Self-driving Cars
3.2 Cooperation with Carmakers
4. QUALCOMM IN SMART VEHICLE APPLICATIONS
4.1 C-V2X Chips
4.2 Snapdragon Ride Platform
5 MEDIATEK IN SMART VEHICLE APPLICATIONS
5.1 Telematics System
5.2 Smart Cockpit System
5.3 Vison-based ADAS
5.4 Automotive mmWave Radar
6. CONCLUSION
Appendix
List of Companies
LIST OF TABLES
Table 1 Evolution of EyeQ Chips
Table 2 Nvidia’s Platforms for Self-driving Vehicles
Table 3 MediaTek’s Products for Smart Vehicles
Table 1 Evolution of EyeQ Chips
Table 2 Nvidia’s Platforms for Self-driving Vehicles
Table 3 MediaTek’s Products for Smart Vehicles
LIST OF FIGURES
Figure 1 Self-driving Car Services Co-developed by Mobileye and Moovit
Figure 2 The Nvidia DRIVE Ecosystem
Figure 3 Support Enabled by the Snapdragon Ride Platform
Figure 1 Self-driving Car Services Co-developed by Mobileye and Moovit
Figure 2 The Nvidia DRIVE Ecosystem
Figure 3 Support Enabled by the Snapdragon Ride Platform