Tag Archives: Autonomous driving

Tesla Outpaces Chinese Rivals in Highway Driver-Assist Tech Testing

Tesla has come out on top in a high-profile series of tests evaluating advanced driver assistance systems (ADAS) on Chinese highways, beating out major domestic contenders including BYD, Xiaomi, and Huawei-led HIMA, according to results published by Dcar, the automotive outlet run by ByteDance.

The joint test—conducted by state broadcaster CCTV and Dcar—assessed Level 2 driving systems across more than 20 electric vehicle (EV) brands. Simulating a range of hazardous scenarios both on highways and in urban settings, the results have ignited intense debate on Chinese social media platforms where Dcar’s test videos have quickly gone viral.

Tesla’s Model 3 and Model X vehicles emerged as top performers, passing five out of six highway-focused evaluations. In contrast, BYD’s Denza Z9GT and HIMA’s Aito M9 each passed just three, while Xiaomi’s highly anticipated SU7 managed only one successful test.

Chinese authorities have taken note. “Chinese brands must admit to themselves that Tesla has an advantage in automated driving,” said Wang Yao, deputy chief engineer at the China Association of Automobile Manufacturers, during an auto forum in Shanghai. “Tesla has led trends in the industry so far, and we will learn from them in the future as well,” added Xiaomi CEO Lei Jun, citing a recent showcase in which a Tesla Model Y autonomously navigated from the company’s factory in Austin to a customer’s home—an estimated 30-minute drive.

Despite its success, Tesla faces major regulatory challenges in China. Elon Musk, writing on X (formerly Twitter), stated that “Tesla has achieved the best results in China despite laws prohibiting the inclusion of Chinese data in its algorithms.” The company remains hampered by Washington’s ban on training Tesla’s AI systems in China, while local regulators have so far refused to allow data collected in Shanghai to be transferred to the U.S. for algorithmic refinement.

Mounting Public and Regulatory Scrutiny in China

The ADAS spotlight comes at a time of growing skepticism among the Chinese public. A tragic crash involving a Xiaomi SU7 that killed three people on a highway has raised alarms over how these semi-autonomous systems are marketed and understood. State media blamed misleading promotional claims for the misuse of the technology, prompting a swift response from regulators.

Authorities have now banned EV makers from using marketing terms such as “smart driving” and “autonomous driving,” emphasizing that current systems still require full driver attention. The Ministry of Public Safety warned that legal liabilities will increasingly fall on drivers if they disengage from the road while such systems are active.

“The technology is not yet fully autonomous. Drivers remain responsible for their vehicles at all times,” the ministry stated, pledging new legal frameworks to clarify responsibility in the event of system-related crashes.

Meanwhile, Huawei-led HIMA dismissed the recent test results, saying it did not wish to comment on the “so-called test.” Neither BYD nor Xiaomi has responded to media inquiries regarding the evaluations.

The Road Ahead

While Tesla’s strong showing underscores its technical edge in automated driving, its regulatory constraints in China remain a significant hurdle. For domestic automakers, the results serve as a sobering reminder of the gap that still exists in ADAS performance—and the steep road ahead to win both consumer trust and global relevance in autonomous mobility.

Source: CCTV

Mercedes-Benz Advances Automated Driving with Real-World Data Collection

In a strategic leap toward safer and smarter roads, Mercedes-Benz has announced it will begin leveraging sensor and video data from its customer fleet starting in late July 2025. The goal is clear and ambitious: bolster the development of advanced driver assistance systems (ADAS) and automated driving functions with real-world data, while upholding the highest standards of data privacy and ethics.

The initiative is part of the brand’s contribution to “Vision Zero”—the European Union’s long-term target of eliminating all road fatalities by 2050.

“We want road traffic to be safe for everyone. The prerequisite for this is high-quality data,” said Renata Jungo Brüngger, Board Member for Integrity, Governance and Sustainability at Mercedes-Benz. “Driving assistance systems and automated functions can only react reliably if they have been trained with realistic and diverse data.”

From Test Vehicles to the Real World

Historically, Mercedes-Benz has relied on data gathered through its global fleet of test vehicles. But as urban environments grow more complex, the Stuttgart-based automaker is now turning to its real-world customers to fill critical data gaps. These include atypical traffic conditions, rare road user behavior, and temporary infrastructure like pop-up cycle lanes or event-related diversions.

With user consent, customer vehicles will collect data based on specific events—such as sudden braking or unusual pedestrian movement. These recordings, stripped of identifying details, are then anonymized and processed centrally to enhance machine learning models. The result: ADAS systems that can better recognize vulnerable road users like children, cyclists, or those with limited mobility, and respond more intuitively in complex traffic scenarios.

Privacy and Consent at the Core

Mercedes-Benz is taking a proactive approach to digital ethics. The company emphasizes its commitment to “Privacy by Design” and “Privacy by Default”—principles that ensure data protection is embedded in both the hardware and software architecture from the outset. Customers will have full control over their participation, with the option to opt out at any time.

In addition, road users who may have been recorded by customer vehicles can contact the company with time and location details to request deletion of imagery, adding an extra layer of transparency and accountability.

Beyond the Vehicle: A Broader Vision of Safety

This initiative doesn’t just aim to improve safety within the vehicle—it has the potential to inform broader traffic planning and infrastructure decisions. With better data on near-miss scenarios or high-risk intersections, urban planners could redesign spaces to prevent accidents before they happen.

Real-time insights from the customer fleet will also be fed into over-the-air software updates, helping to futureproof Mercedes-Benz’s ADAS offerings without requiring physical hardware changes.

Building Digital Trust for a Connected Tomorrow

As vehicles become increasingly connected and autonomous, trust becomes the bedrock of adoption. Mercedes-Benz is positioning itself as a leader in responsible innovation, bringing together engineers, legal experts, ethicists, and compliance officers to ensure new technologies are as trustworthy as they are groundbreaking.

“In the era of data-driven mobility, transparency, control, and consent are non-negotiable,” said Brüngger. “Our customers and all road users can rely on us.”

With this move, Mercedes-Benz is not just evolving its technological capabilities—it’s reshaping the social contract between carmakers and society. By treating data not only as a tool but as a responsibility, the company is steering the automotive industry toward a future where innovation and integrity go hand in hand.

Source: Mercedes-Benz

Tesla Makes History With World’s First Autonomous Car Delivery

Tesla has once again pushed the boundaries of automotive innovation by releasing footage of what it claims is the world’s first fully autonomous vehicle delivery. In a groundbreaking demonstration, a Tesla Model Y drove itself from the company’s Gigafactory in Texas directly to the new owner’s home—without a driver, passengers, or any form of remote control.

“This Tesla drove itself from its factory in Texas to its new owner’s home, about 30 minutes away, crossing parking lots, highways and the city to reach its new owner,” the company confirmed.

The vehicle, equipped with Tesla’s latest Full Self-Driving (FSD) software, navigated complex real-world conditions at speeds reaching up to 72 mph (approximately 116 km/h), according to Ashok Elluswamy, head of Tesla’s AI and Autopilot division. The event marks a significant milestone in the company’s ambitious roadmap toward full autonomy.

Interestingly, the delivery came a day earlier than CEO Elon Musk had previously announced, adding an unexpected twist to an already historic moment. Musk had earlier stated that the first autonomous handover would take place on June 28.

This achievement follows another major development in Tesla’s autonomous portfolio: the public debut of its long-awaited robotaxi service. On Monday, the company launched the pilot phase of fully autonomous ride-hailing, deploying a small fleet of Model Y vehicles operating within a geofenced area in Austin’s South Congress neighborhood. Though driverless in function, each vehicle currently includes a Tesla employee onboard to ensure safety during this early phase.

Access to the pilot service is currently limited to a select group of invitees, including prominent influencers and early investors. Each ride is priced at $4.20—a nod, perhaps, to Musk’s well-known affinity for internet culture and symbolism.

Tesla’s FSD system eschews the industry-standard LIDAR in favor of a vision-based architecture powered by onboard cameras and proprietary computing hardware. While the company’s approach has sparked debate within the autonomous driving community, this recent delivery and the robotaxi rollout suggest Tesla is confident in the real-world viability of its strategy.

Whether it’s a marketing masterstroke or a genuine leap forward in self-driving technology, Tesla’s autonomous delivery has undeniably set a new benchmark in the automotive world.

Source: Tesla via YouTube

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