1. | EXECUTIVE SUMMARY |
1.1. | Roboshuttles and Autonomous Buses 2024-2044 |
1.2. | What makes it a roboshuttle? |
1.3. | Distribution of roboshuttle cities |
1.4. | Autonomous bus introduction |
1.5. | Categories of bus |
1.6. | Technology Readiness |
1.7. | Different powertrains for different vehicles |
1.8. | Types of service for roboshuttles and buses |
1.9. | Number of active companies |
1.10. | The Sensor Trio |
1.11. | Sensor suites for Roboshuttles and autonomous buses |
1.12. | SWOT analysis and comparisons for roboshuttles and autonomous buses |
1.13. | Commercial readiness and opportunity comparison of roboshuttles and autonomous buses |
1.14. | IDTechEx predicted timelines |
1.15. | Roboshuttle and unit sales 2020-2044 |
1.16. | Roboshuttle revenues, vehicle sales and passenger fares 2022-2044 |
1.17. | Roboshuttle revenues, vehicle sales and passenger fares 2022-2044 |
1.18. | Autonomous bus unit sales 2022-2044 |
1.19. | Autonomous bus unit sales by regions 2022-2044 |
1.20. | Autonomous bus revenue 2022-2044 |
1.21. | Autonomous bus revenue by region 2022-2044 |
1.22. | Roboshuttle and autonomous bus sales revenue 2022-2044 |
1.23. | Access more with an IDTechEx Subscription |
2. | ROBOSHUTTLES: PLAYERS AND ANALYSIS |
2.1. | Introduction |
2.1.1. | Key Takeaways For Roboshuttles |
2.1.2. | What Makes it a Roboshuttle? - Part 1 |
2.1.3. | What Makes it a Roboshuttle? - Part 2 |
2.1.4. | Table Comparison Of Active Companies |
2.1.5. | EasyMile |
2.1.6. | EasyMile Real World Trials And Testing |
2.1.7. | HOLON |
2.1.8. | Auve Tech |
2.1.9. | GAMA (Formerly Navya) |
2.1.10. | GAMA Use Case Examples |
2.1.11. | GAMA (Formerly Navya)'s Business Model |
2.1.12. | Zoox |
2.1.13. | Zoox Sensor Suite |
2.1.14. | PIX Moving |
2.1.15. | Yutong and WeRide |
2.1.16. | Yutong Use Cases accelerate by WeRide.ai |
2.1.17. | Qcraft |
2.1.18. | Apollo - Autonomous Branch of Baidu |
2.1.19. | Ohmio - Lift |
2.1.20. | Ohmio Trials |
2.1.21. | Lohr, Torc and Transdev |
2.1.22. | Beep -Olli 2.0 |
2.2. | Roboshuttle projects that have become dormant |
2.2.1. | Table Comparison Of Inactive Companies |
2.2.2. | ZF - A Robot Shuttle Future. |
2.2.3. | ZF - Robot Shuttle Deployment (Rivium3.0) |
2.2.4. | ZF with authorized service providers and manufacturers |
2.2.5. | ZF - Strategic Realignment 2030 |
2.2.6. | Toyota e-PALETTE |
2.2.7. | Cruise Origin |
2.3. | Roboshuttle projects that have been discontinued |
2.3.1. | Table Comparison of Discontinued Companies |
2.3.2. | NEVS |
2.3.3. | May Mobility |
2.3.4. | Higer |
2.3.5. | Coast |
2.3.6. | Sensible 4 - GACHA |
2.3.7. | IAV and the HEAT project |
2.3.8. | Continental |
2.3.9. | Bosch |
2.3.10. | Local Motors - Olli |
2.3.11. | e.Go Moove |
2.3.12. | DGWORLD |
2.3.13. | Projects That Are No Longer Active (1) |
2.3.14. | Projects That Are No Longer Active (2) |
2.3.15. | Projects That Are No Longer Active (3) |
2.4. | Roboshuttles analysis and conclusions |
2.4.1. | Table Comparison Of Active Companies |
2.4.2. | Technology Readiness before 2023 |
2.4.3. | Technology Readiness - Still Active in 2024 |
2.4.4. | Decline in Roboshuttle Companies (1) |
2.4.5. | Decline in Roboshuttle Companies (2) |
2.4.6. | Where Players Exit |
2.4.7. | Where Are Players In The Value Chain (1) |
2.4.8. | Where Are Players In The Value Chain (2) |
2.4.9. | Passenger Capacity |
2.4.10. | Total Cost of Ownership Analysis (1) |
2.4.11. | Total Cost of Ownership Analysis (2) |
2.4.12. | Reasons Roboshuttles Will Succeed (1) |
2.4.13. | Reasons Roboshuttles Will Succeed (2) |
2.4.14. | Reasons Roboshuttles Will Succeed (3) |
2.4.15. | Reasons Roboshuttles Will Fail (1) |
2.4.16. | IDTechEx Opinion On Roboshuttles |
3. | AUTONOMOUS BUSES: PLAYERS AND ANALYSIS |
3.1. | Introduction |
3.1.1. | Categories of Bus |
3.1.2. | Bus Category Sizing |
3.1.3. | Reasons to automate |
3.1.4. | Types of Autonomous Services |
3.1.5. | Challenges of Automating |
3.1.6. | Table Comparison Of Active Players (1) |
3.1.7. | Table Comparison Of Active Players (2) |
3.2. | Players - Minibuses |
3.2.1. | eVersum |
3.2.2. | King Long |
3.2.3. | BrightDrive |
3.2.4. | Aurrigo |
3.2.5. | Hyundai Autonomous Bus |
3.2.6. | Volkswagen |
3.2.7. | Volkswagen ID.Buzz - Sensor Suite |
3.2.8. | Volkswagens MOIA Project |
3.2.9. | Perrone Robotics - Overview |
3.2.10. | Perrone Robotics - Sensor Suite |
3.2.11. | Perrone Robotics - Deployment And Planned Rollout |
3.3. | Players - Midibuses |
3.3.1. | eVersum |
3.3.2. | ADASTEC |
3.3.3. | ADASTEC and Karsan - Sensor Suite |
3.3.4. | ADASTEC Trial deployments |
3.3.5. | Golden Dragon ASTAR |
3.3.6. | QCraft |
3.3.7. | QCraft - Sensor Suite |
3.3.8. | Zhongtong |
3.4. | Players - City Buses |
3.4.1. | Hyundai Autonomous Bus |
3.4.2. | Fusion Processing - Overview |
3.4.3. | Fusion Processing - Testing and Trials |
3.4.4. | ANA and BYD - Airport Bus Trials |
3.4.5. | New Flyer - Overview |
3.4.6. | New Flyer - Sensor Suite |
3.4.7. | DeepBlue |
3.4.8. | DeepBlue Trials |
3.5. | Projects that have become dormant |
3.5.1. | LILEE |
3.5.2. | Irizar |
3.5.3. | Iveco |
3.6. | Companies No Longer Active In Autonomous Buses |
3.6.1. | ST Engineering |
3.6.2. | Daimler |
3.6.3. | Scania |
3.6.4. | Proterra |
3.6.5. | Other Big Players Either Not Involved Or Stopped |
3.7. | Autonomous Bus Analysis |
3.7.1. | Bus Sizes |
3.7.2. | Activity |
3.7.3. | Technology Readiness |
3.7.4. | Few Large Trials |
3.7.5. | Table Comparison Of Active Players (1) |
3.7.6. | Table Comparison Of Active Players (2) |
3.7.7. | Vehicle Type vs Company Type |
3.7.8. | Companies in Value Chain |
3.7.9. | Options For Early Deployments Of Autonomous Tech |
3.7.10. | Autonomous Bus Deployments in other ODDs |
3.7.11. | Drivetrains - Most Are Thinking Electric |
3.7.12. | Reasons Autonomous Buses Will Be A Success |
3.7.13. | Reasons Autonomous Buses Will Fail |
3.7.14. | IDTechEx Opinion On Autonomous Buses |
4. | ENABLING TECHNOLOGIES: CAMERAS |
4.1. | Cameras in Roboshuttles and Autonomous buses |
4.2. | RGB/Visible light camera |
4.3. | CMOS image sensors vs CCD cameras |
4.4. | Key Components of CMOS |
4.5. | Front vs backside illumination |
4.6. | Reducing Cross-talk |
4.7. | Global vs Rolling Shutter |
4.8. | TPSCo: Leading foundry for global shutter |
4.9. | Sony: CMOS Breakthrough? |
4.10. | Sony: BSI global shutter CMOS with stacked ADC |
4.11. | OmniVision: 2.µm global shutter CMOS for automotive |
4.12. | Hybrid organic-Si global shutter CMOS |
4.13. | Event-based Vision: A New Sensor Type |
4.14. | What is Event-based Sensing? |
4.15. | General event-based sensing: Pros and cons |
4.16. | What is Event-based Vision? (I) |
4.17. | What is Event-based Vision? (II) |
4.18. | What is event-based vision? (III) |
4.19. | What does event-based vision data look like? |
4.20. | Event Based Vision in Autonomy? |
5. | ENABLING TECHNOLOGIES: THERMAL CAMERAS |
5.1. | Thermal Cameras in Roboshuttles and Autonomous buses |
5.2. | Segmenting the Electromagnetic Spectrum |
5.3. | Thermal camera SWOT |
5.4. | The Need for NIR |
5.5. | OmniVision: Making Silicon CMOS Sensitive to NIR |
5.6. | OmniVision: Making Silicon CMOS Sensitive to NIR |
5.7. | Motivation for Short-Wave Infra-Red (SWIR) Imaging |
5.8. | Why SWIR in Autonomous Mobility |
5.9. | Other SWIR Benefits: Better On-Road Hazard Detection |
5.10. | SWIR Sensitivity of Materials |
5.11. | SWIR Imaging: Incumbent and Emerging Technology Options |
5.12. | The Challenge of High Resolution, Low Cost IR Sensors |
5.13. | Silicon Based SWIR Detection - TriEye |
6. | ENABLING TECHNOLOGIES: QUANTUM DOTS AS OPTICAL SENSOR MATERIALS FOR IR, NIR, SWIR |
6.1. | Quantum Dots as Optical Sensor Materials |
6.2. | Quantum Dots: Choice of the Material System |
6.3. | Other Ongoing Challenges |
6.4. | Advantage of Solution Processing |
6.5. | QD-Si CMOS at IR and NIR |
6.6. | Hybrid QD-Si Global Shutter CMOS at IR and NIR |
6.7. | Emberion: QD-Graphene SWIR Sensor |
6.8. | Emberion: QD-Graphene-Si Broadrange SWIR sensor |
6.9. | SWIR Vision Sensors: First QD-Si Cameras and/or an Alternative to InVisage? |
6.10. | QD-ROIC Si-CMOS integration examples (IMEC) |
6.11. | QD-ROIC Si-CMOS Integration Examples (RTI International) |
6.12. | QD-ROIC Si-CMOS Integration Examples (ICFO) |
7. | ENABLING TECHNOLOGIES: LIDAR |
7.1. | LiDAR in Roboshuttles and Autonomous buses |
7.2. | LiDAR classifications |
7.3. | Automotive LiDAR: Operating process |
7.4. | Automotive LiDAR: Requirements |
7.5. | LiDAR system |
7.6. | LiDAR working principle |
7.7. | Laser range finder function for the first production car |
7.8. | Comparison of lidar product parameters |
7.9. | TOF vs FMCW LiDAR |
7.10. | LiDAR scanning categories |
7.11. | Summary of lidars with various beam steering technologies |
7.12. | Comparison of common beam steering options |
7.13. | Overview of beam steering technologies |
7.14. | Point cloud |
7.15. | Lidar signal applications |
7.16. | 3D point cloud modelling |
7.17. | LiDAR challenges |
7.18. | Poor weather performance: Challenges & solutions |
7.19. | Early possible adoption of Lidar |
7.20. | Velodyne lidar portfolios |
7.21. | Valeo SCALA |
7.22. | Livox: Risley prisms |
7.23. | Automotive lidar players by technology |
8. | ENABLING TECHNOLOGIES: RADAR |
8.1. | Radar in Roboshuttles and Autonomous buses |
8.2. | Radar SWOT |
8.3. | Typical Sensor Suite for Autonomous Cars |
8.4. | Radar Has a Key Place in Automotive Sensors |
8.5. | The Need for and Emergence of Imaging Radar |
8.6. | 4D Radars and Imaging Radars |
8.7. | Radar Trends: Volume and Footprint |
8.8. | Radar Trends: Packaging and Performance |
8.9. | Radar Trends: Increasing Range |
8.10. | Radar Trends: Field of View |
8.11. | Radar Trilemma |
8.12. | Radar Anatomy |
8.13. | Radar Key Components |
8.14. | Primary Radar Components - The Antenna |
8.15. | Primary Radar Components - the RF Transceiver |
8.16. | Primary Radar Components - MCU |
8.17. | Automotive Radars: Frequency Trends |
8.18. | Trends in Transceivers |
8.19. | Two Approaches to Larger Channel Counts |
8.20. | Semiconductor Technology Trends in Radar |
8.21. | Funding for Radar Start-ups |
8.22. | Future Radar Packaging Choices |
8.23. | Leading players - tier 1 suppliers |
8.24. | Transceiver suppliers |
8.25. | Supply chain |
8.26. | Example products from a tier 1 - Continental |
8.27. | Example products from a tier 1 - Bosch |
8.28. | Example of radar start-up - Arbe |
8.29. | Arbe and its Investors |
8.30. | Example of radar start-up - Zadar |
9. | FORECASTS |
9.1. | Notes on the forecasts chapter |
9.2. | Forecasts: Roboshuttles |
9.2.1. | Method |
9.2.2. | Vehicle assumptions |
9.2.3. | Cities Considered |
9.2.4. | Adoption within cities |
9.2.5. | Current and forecasted city roll out 2020-2044 (1) |
9.2.6. | Current and forecasted city roll out 2020-2044 (2) |
9.2.7. | Distribution of roboshuttle cities |
9.2.8. | Roboshuttle fare pricing for different economies |
9.2.9. | Roboshuttle price decline |
9.2.10. | Roboshuttle unit sales 2020-2044 |
9.2.11. | Roboshuttle revenues, vehicle sales and passenger fares 2022-2044 |
9.2.12. | Sensors for roboshuttles 2020-2044 |
9.3. | Forecasts: Autonomous Buses |
9.3.1. | Method |
9.3.2. | Minibus utilization, adoption and city roll-out |
9.3.3. | Autonomous bus adoption |
9.3.4. | Autonomous bus unit sales 2022-2044 |
9.3.5. | Autonomous bus unit sales by regions 2022-2044 |
9.3.6. | Vehicle pricing |
9.3.7. | Autonomous bus revenue 2022-2044 |
9.3.8. | Autonomous bus revenue by region 2022-2044 |
9.3.9. | Powertrains of autonomous buses 2023-2044 |
9.3.10. | Sensors for autonomous buses 2024-2044 |
9.4. | Forecasts: Roboshuttles and Autonomous Buses Comparison |
9.4.1. | Seating capacity in autonomous buses and roboshuttles |
9.4.2. | Roboshuttle and Autonomous Bus Unit Sales 2022-2044 |
9.4.3. | Roboshuttle and Autonomous Bus Sales Revenue 2022-2044 |
9.4.4. | Sensors for Roboshuttles and Autonomous Buses 2024-2044 |