With the rapid development of the global automotive industry, autonomous driving technology has become one of the most high-profile fields. According to the latest survey by TrendForce, global new car sales are expected to reach 90.6 million units in 2025, a year-on-year increase of 2.4%. China accounts for 29% of this figure, followed by the U.S. at 18% and Western Europe at 15%. Amid this surge, Tesla’s Full Self-Driving (FSD) and Huawei’s Automated Driving System (ADS) are undoubtedly the two most representative technologies, each leading the North American and Chinese markets, respectively. With distinct approaches in technology, perception, and real-world application, which one will come out on top?

Tesla FSD V13.2: A Vision-Only Revolution in Autonomous Driving

Tesla’s FSD has consistently adhered to a vision-only approach (cameras + algorithms), based on the "first principles" belief that since humans can drive using only vision, machines should be able to do the same. Its core architecture consists of BEV (Bird’s Eye View) + Transformer and relies on the Dojo supercomputer for deep learning training.

On December 5, 2024, Tesla released FSD V13.2, introducing several groundbreaking upgrades:

- Parking Lot Autonomy: Drivers can activate FSD directly in parking lots without preset navigation, allowing the system to autonomously determine routes and drive.

- Intelligent Reversing & Three-Point Turns: The update enhances the vision-based reversing system, enabling automatic reversing and complex three-point turns for smarter parking.

- Full-Resolution Image Processing: With HW4.0 hardware, the system processes images at 36 frames per second, significantly improving environmental perception and decision-making efficiency.

- Robotaxi Readiness: The system now supports fleet-level dynamic navigation, laying the technical foundation for Tesla’s future autonomous taxi network (Robotaxi).

Huawei ADS 4.0: Multi-Sensor Fusion for High-Precision Navigation Without HD Maps

Unlike Tesla, Huawei’s ADS 4.0 adopts a multi-sensor fusion approach, leveraging the GOD (General Obstacle Detection) network and RCR (Road Cognition & Reasoning) technology to enable city navigation without relying on high-definition (HD) maps.

- GOD Network: Integrates lidar, millimeter-wave radar, and cameras to detect over 100 types of obstacles in real-time, from small manhole covers to irregularly shaped vehicles.

- RCR Reasoning: Derives lane markings and intersection structures using only standard navigation maps, allowing seamless driving in areas without HD map coverage.

- Low-Latency Ascend AI Chip: Ensures system response times below 100 milliseconds, enabling rapid decision-making when faced with sudden lane-cutting vehicles.

- Extreme Condition Adaptability: Operates stably in harsh conditions such as -35°C snow, heavy rain, and flooded roads, reducing braking distances by 20% compared to human drivers.

- 3D High-Precision Recognition: Nighttime perception is 300% better than vision-only solutions, and the system can construct clear 3D road models even in heavy rain.

- Smart Parking Garage Navigation: Supports memory-based navigation for up to five-level underground garages and automatic cross-floor driving up to 3 kilometers, with a 99% accuracy rate for precision parking.

Huawei ADS 4.0 has also received EU R155 autonomous driving regulatory certification, marking its readiness for entry into the European market.

FSD vs. ADS: Who Takes the Lead?

The key difference between Tesla’s FSD and Huawei’s ADS lies in their perception and decision-making systems:

- Tesla insists on a vision-only approach, using deep learning to mimic human driving behavior, though it may face challenges in complex lighting conditions.

- Huawei adopts a multi-sensor fusion strategy, leveraging lidar to enhance perception in nighttime and adverse weather conditions, providing greater environmental adaptability.

In real-world applications:

- Tesla’s FSD performs more smoothly on highways and urban roads, benefiting from its extensive data training system.

- Huawei’s ADS excels in environments without HD maps, making it well-suited for complex and dynamically changing urban settings.

From technological approaches to market strategies, both Tesla FSD and Huawei ADS have their unique advantages. FSD stands out with its vision-based model, driving AI-powered self-learning, while ADS ensures more stable perception and decision-making through sensor fusion. As autonomous driving technology continues to evolve, these two systems may eventually converge, leading to even more powerful intelligent driving solutions.

So, which approach will ultimately define the future of autonomous driving? Only time will tell!