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Trump, Musk and the autonomobiles

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President-elect Donald Trump and Tesla CEO Elon Musk are poised to significantly influence the self-driving car industry in the coming years.

Trump Administration’s Plans

The incoming Trump administration has indicated plans to establish a federal framework aimed at accelerating the deployment of autonomous vehicles. This initiative seeks to streamline regulations, potentially removing existing barriers that hinder the development and deployment of self-driving technology. The administration’s approach is expected to provide clearer guidelines for vehicle design and performance standards, addressing concerns about regulatory uncertainty and international competition, particularly from China.

Elon Musk’s Vision

Elon Musk has been a vocal advocate for autonomous vehicle technology, with Tesla making significant strides in this area. Musk’s plans include the development of a self-driving taxi business, commonly referred to as “robotaxis.” Tesla has announced models like the CyberCab and RoboVan, designed specifically for autonomous transport, with production expected to commence by 2026. Musk anticipates that Tesla’s existing models will be capable of operating as robotaxis following software updates and regulatory approvals, which are expected to be obtained in states like California and Texas by 2025.

Collaborative Impact

The alignment between the Trump administration’s regulatory easing and Musk’s autonomous vehicle ambitions suggests a collaborative environment that could expedite the integration of self-driving cars into the mainstream market. By reducing regulatory hurdles and providing a supportive policy framework, the administration’s initiatives may facilitate Tesla’s deployment of autonomous vehicles, potentially transforming urban mobility and the broader transportation landscape.

Tesla : Cybercar

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Tesla’s latest plans, announced on October 11, 2024, during their “We, Robot” event, include two significant autonomous vehicles: the Robovan and the Cybercab (Robotaxi). These new electric vehicles are designed to be fully autonomous and address different transport needs.

The Robovan is a versatile, 20-seat electric van that Tesla intends for a wide range of applications, such as passenger shuttles, cargo delivery, or even as a potential school bus. Its design, which Elon Musk described as “futuristic Art Deco,” offers both people-carrying and cargo configurations. The Robovan could drastically reduce transport costs, possibly to as low as 5-10 cents per mile, making it cheaper and more efficient than conventional transport options. This vehicle might be particularly useful in urban settings for last-mile deliveries or shuttle services.

The Cybercab, or Robotaxi, is another ambitious project aimed at providing fully autonomous ride-sharing services. Tesla expects to launch this vehicle by 2026, with the goal of lowering transportation costs to 20 cents per mile, providing a much more affordable alternative to traditional taxi service.

Although no firm release date was given for the Robovan, these developments are part of Tesla’s larger vision to revolutionize public transport with electric, autonomous vehicles.

Pony.AI – Where are we today ?

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Pony.ai has made significant strides in the autonomous driving industry since its founding in 2016, focusing on both robotaxi services and autonomous trucking. Here’s a deeper dive into its key achievements and areas of concentration:

Key Achievements

  1. Robotaxi Services: Pony.ai was one of the first companies to receive permits for operating autonomous taxis (robotaxis) in China. By 2024, it had fleets of autonomous vehicles without safety drivers operating in four major Chinese cities: Beijing, Shanghai, Guangzhou, and Shenzhen. In some of these cities, it has already launched commercial ride-hailing services through its “PonyPilot+” app. However, these services are limited to specific districts, indicating that the full-scale deployment of robotaxis is still a work in progress【5†source】【6†source】.
  2. Commercial Robotrucks: Pony.ai ventured into autonomous trucking by launching its robotruck unit in 2018. However, commercialization of robotrucks proved more challenging due to technical and regulatory difficulties. By 2021, Pony.ai scaled down its truck business, merging its truck and passenger vehicle R&D teams to focus resources more efficiently【6†source】.
  3. Partnerships and Funding: Pony.ai has built strong partnerships with automotive giants like Toyota and has received substantial funding, including $100 million from Saudi Arabia’s NEOM fund in 2023. Over multiple funding rounds, it has raised over $1.1 billion, with a valuation of $8.5 billion in 2022【6†source】.
  4. Regulatory Milestones: Pony.ai has secured crucial licenses to test autonomous vehicles on public roads in both the U.S. and China. It was also among the first to receive a license to conduct autonomous driving tests on highways in China, an essential step toward broader commercialization【5†source】.

Current Focus Areas

  1. Shift to Level 2 Driver Assistance: Pony.ai initially concentrated on achieving Level 4 autonomy, which refers to full self-driving capabilities without human intervention under most conditions. However, due to the slow pace of regulatory approval and the technological challenges of fully autonomous vehicles, the company has shifted its short-term focus to developing Level 2 advanced driver assistance systems (ADAS). These systems assist drivers but still require human supervision, and they are quicker to commercialize than full autonomy【6†source】.
  2. Two-Tiered Strategy: While the company has temporarily shifted focus to lower-tech driver assistance systems, it remains committed to achieving Level 4 autonomy in the long run. Pony.ai’s strategy is now twofold: in the short term, it aims to generate revenue through driver assistance technologies, while continuing to invest heavily in R&D for full autonomy. This allows the company to balance immediate commercial viability with its long-term vision of fully autonomous vehicles【6†source】.
  3. Geographic Expansion: Pony.ai operates in both China and the U.S., but its strategy has been more focused on China recently, where it sees greater regulatory openness for autonomous driving pilots. The company’s U.S. operations have seen cutbacks, especially in the autonomous trucking division【6†source】.
  4. Autonomous Ride-Hailing: Despite the shift toward lower-tech solutions, Pony.ai continues to prioritize its robotaxi services. It has already begun charging customers for rides in designated areas and sees autonomous ride-hailing as a core part of its future business model. Expanding the geographic range of its robotaxi services is one of its immediate goals【6†source】.

In conclusion, while Pony.ai has had to temper some of its initial ambitions regarding fully autonomous driving, it has remained a prominent player in the industry by focusing on driver assistance systems and localized robotaxi services. The company’s long-term objective of achieving full autonomy is still intact, but it is taking a more cautious, step-by-step approach to commercialization.

Waymo enters partnership with Hyundai

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Waymo has entered into a significant multi-year partnership with Hyundai to bring fully autonomous driving technology to the South Korean automaker’s electric vehicles, starting with the IONIQ 5. In this collaboration, Waymo’s sixth-generation autonomous driving system, known as the “Waymo Driver,” will be integrated into Hyundai’s all-electric IONIQ 5 SUVs. These vehicles will eventually join Waymo’s growing robotaxi fleet, Waymo One.

The IONIQ 5 units destined for Waymo will be produced at Hyundai’s new Metaplant in Georgia, USA, which is expected to open later in 2024. The partnership plans to build these autonomous vehicles at scale, with the first road tests of the Waymo-equipped IONIQ 5s set to begin in late 2025. These vehicles will come with features tailored for autonomy, including hardware redundancy and power doors, allowing for long driving shifts and fast charging times thanks to their 800-volt architecture.

This partnership aligns with both companies’ visions of advancing safer, more efficient, and convenient autonomous transportation. Waymo’s expansion into Hyundai’s EVs is seen as a step toward broader commercialization of autonomous driving, especially with Hyundai’s ambitions to lead in sustainable mobility.

BMW’s current state in self-driving technology

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BMW’s current state of self-driving technology is built around the company’s ADAS (Advanced Driver Assistance Systems) framework, which categorizes its self-driving capabilities into several levels of automation. These levels align with the SAE (Society of Automotive Engineers) standards, ranging from Level 0 (no automation) to Level 5 (full automation). BMW, like many automakers, is progressively developing self-driving technologies, and its current offerings mainly focus on Levels 2 and 3.

Here’s a breakdown of BMW’s self-driving technology based on these levels, with emphasis on typology:

1. Level 2 Automation: Partial Automation

BMW’s existing models feature Level 2 automation, which combines automated steering, acceleration, and deceleration. However, the driver must remain engaged and ready to take control at any moment. The core of this technology includes:

  • BMW Driving Assistant Professional: This package offers features like adaptive cruise control, lane-keeping assist, and traffic jam assist. These systems use a combination of radar, ultrasonic sensors, and cameras to monitor the environment and assist in highway driving. It also features lane change assistance, where the vehicle can autonomously change lanes when the driver initiates the maneuver.
  • Traffic Jam Assistant: Available in certain models like the BMW 5 Series and 7 Series, this system helps drivers in heavy traffic by controlling the car’s acceleration, braking, and steering at speeds up to 60 km/h (37 mph), though the driver’s hands must stay on the wheel.
  • Active Cruise Control with Stop & Go: This system allows for semi-autonomous driving on highways, where the car can maintain a safe distance from the vehicle ahead and even bring the car to a complete stop and resume driving in slow-moving traffic.

2. Level 3 Automation: Conditional Automation

BMW is aiming to introduce Level 3 automation, where the vehicle can handle most driving tasks under specific conditions without driver intervention. However, the driver must be available to take control when requested by the system.

  • BMW iX – Highway Assistant: The recently launched electric BMW iX is one of the first BMW vehicles to showcase Level 3 automation capabilities. The Highway Assistant allows the vehicle to drive autonomously on highways at speeds of up to 130 km/h (81 mph), where the driver can take their hands off the wheel under certain conditions. The system uses an array of LiDAR, cameras, and radar sensors to map and navigate its environment, creating a higher level of automation compared to previous models. However, the driver must be ready to take control in more complex situations.
  • Traffic Jam Pilot (future plans): BMW has announced plans to introduce a Traffic Jam Pilot system, which would enable Level 3 functionality in congested traffic at low speeds. The system would control steering, acceleration, and braking without driver intervention.

3. Level 4 and Level 5 Automation: High to Full Automation (Future Development)

While BMW has not yet reached Level 4 or 5 automation in commercially available models, they are working towards these goals in the long term:

  • BMW’s iNEXT Project: The iNEXT vehicle, now materialized in the form of the BMW iX, represents BMW’s long-term vision for autonomous driving. BMW has hinted that it aims to develop Level 4 autonomous driving capabilities in future iterations of the iX or other future models. This level would allow vehicles to operate without any human intervention in most conditions, including city environments, though the driver would still have the option to take over.
  • Urban Autonomous Driving: BMW is exploring self-driving solutions for urban environments, which is more complex than highway driving due to the dynamic and unpredictable nature of city streets. The company is actively investing in the BMW Autonomous Driving Campus in Unterschleißheim, Germany, where it collaborates with other technology companies to advance autonomous driving algorithms, data processing, and vehicle sensors.

Typology of BMW Self-Driving Systems

BMW’s self-driving technology consists of several key components and systems:

  1. Sensor Fusion: BMW combines data from cameras, radar, ultrasonic sensors, and LiDAR (especially in newer models like the iX) to create a detailed view of the vehicle’s surroundings. This sensor fusion is critical to enable semi-autonomous and future fully autonomous capabilities.
  2. ADAS Control Unit (ECU): The central computer that processes data from the sensors and makes real-time decisions, including adjusting speed, steering, and braking based on environmental conditions and driver input.
  3. Driver Monitoring System (DMS): A crucial feature for Level 2 and 3 automation, BMW employs camera-based monitoring systems to track the driver’s attention level. If the driver becomes inattentive, the system can issue alerts or take action to re-engage them.
  4. HD Maps: BMW is partnering with companies like HERE Technologies to develop high-definition maps that provide accurate information about the road, such as lane markings, speed limits, and traffic signs, to assist autonomous systems.
  5. Connectivity: BMW vehicles are equipped with V2X (Vehicle-to-Everything) communication technology, which enables cars to communicate with other vehicles, infrastructure, and cloud-based systems. This technology is critical for future autonomous driving in smart cities.

Conclusion

BMW is at the forefront of developing semi-autonomous driving technology (currently Level 2, working toward Level 3). The BMW iX represents the most advanced application of this technology to date, with plans to integrate higher levels of automation in the future. The focus on sensor fusion, AI-driven decision-making, and HD mapping forms the backbone of its autonomous driving strategy. However, fully autonomous Level 4 or Level 5 driving is still in the research and development phase, with significant advancements expected in the next few years.

Tesla’s current state in self-driving technology

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Tesla’s self-driving technology can be broken down into a typology based on various levels of automation and capabilities, which are still evolving toward full autonomy.

  1. Autopilot: This is Tesla’s entry-level driver assistance feature, offering lane centering and adaptive cruise control. It is not considered “self-driving” and requires constant driver supervision​(Tesla).
  2. Enhanced Autopilot (EAP): Building on Autopilot, this system includes features like Navigate on Autopilot, which helps with highway driving, and auto lane change. EAP also allows for features like Autopark and Summon, which help the vehicle park itself or be remotely moved within certain limits​(Tesla).
  3. Full Self-Driving (FSD) Supervised: This is Tesla’s most advanced offering currently in development. While branded as “Full Self-Driving,” it still requires driver supervision and intervention. It includes features such as automatic lane changes, responding to traffic signals, navigating city streets, and limited hands-off driving on highways​(Autopilot Review)​(Tesla).
    • FSD 12.5: The latest iteration introduces an end-to-end neural network system that manages both city and highway driving. Despite its advances, including smoother decision-making and better lane management, it still operates in a supervised mode​(TechRadar)​(Engadget).
  4. Full Autonomy (Future State): Tesla aims to reach Level 5 autonomy, which would require no driver input at all. However, this level has not been achieved yet, with predictions for unsupervised driving expected by 2025, depending on regulatory approvals and technological milestones​(Tesla Oracle).

Tesla’s FSD technology is progressively moving toward full autonomy, but it is not yet truly self-driving. The company is working on reducing the number of necessary driver interventions to make this a reality​(

Tesla Oracle).

Mercedes’s current state of self-driving technology

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Mercedes-Benz is currently a leader in the development of self-driving technology, particularly with its Drive Pilot system, which operates at SAE Level 3 autonomy. This places Mercedes ahead of many competitors, as it offers the highest publicly available level of automation in its 2024 models, such as the S-Class and EQS.

Level 3 autonomy, also known as conditional driving automation, allows the vehicle to handle most driving tasks, including steering, braking, and acceleration, but still requires the driver to be ready to take control if the system prompts them to do so. Drive Pilot operates under specific conditions, such as in high-traffic situations or on approved highways, and can maintain lane position and speed autonomously up to around 40 mph. The system uses an advanced suite of sensors, including LiDAR, cameras, radar, and ultrasound, combined with high-precision GPS and a 3D digital HD map to create a detailed view of the surroundings.

In terms of typology, Mercedes categorizes its autonomous systems primarily as Level 2 and Level 3. The Level 2 system, branded as Intelligent Drive, includes features like adaptive cruise control, active lane-keeping, and automated lane changes, but still requires constant driver supervision. Level 3 Drive Pilot, however, marks a significant leap by allowing the driver to disengage from monitoring the road, making it a groundbreaking technology in the U.S. and Germany.

The deployment of this system is still limited by regulatory frameworks. Drive Pilot is currently approved in Germany, California, and Nevada, with further expansion likely dependent on local legal conditions.

This progression toward higher levels of autonomy showcases Mercedes’ ambition to redefine luxury driving by combining automation with safety and sustainability. However, regulatory and technological hurdles, such as mapping accuracy and driver monitoring systems, remain part of the broader challenge as the company pushes toward fully autonomous (Level 4) systems