
Some models with L4 autonomous driving are as follows: 1. Model-3: Class: Mid-size sedan. From the Model-S to the current Model-3, there are always some features that set it apart from other cars. 2. Model-S: Class: Large mid-size sedan. The Tesla Model-S is a pure electric large mid-size car, whose exaggerated performance and abundant cutting-edge technologies make it a rare competitor in the market.

I've been keeping an eye on L4 autonomous vehicles because they represent high automation and can drive themselves in specific areas. Waymo One is the most famous example—it's a modified Jaguar I-PACE that offers taxi services in Phoenix and San Francisco, where you can hail a ride via smartphone. There's also the Cruise Origin, a purpose-built vehicle developed by General Motors, designed like a large glass box, already undergoing test operations in San Francisco. Beyond that, Tesla aims for L4 capability, but their current Full Self-Driving is still in beta, considered L2+. Baidu Apollo provides Robotaxi services in Beijing and Changsha using Hongqi electric vehicles, though it's limited to certain zones. None of these vehicles are sold directly to consumers as personal cars; they're primarily for ride-hailing services or commercial deployment. The driving experience is quite smooth, with a full suite of sensors including LiDAR and cameras ensuring safety in speed-limited zones. L4 vehicles are still evolving, with limited urban coverage and potential restrictions in rain or snow. If you're in Silicon Valley or similar areas, trying one firsthand is thrilling—it's truly changing how we travel.

As a tech enthusiast, I'm quite familiar with several L4 autonomous driving models: Waymo uses modified Jaguar I-PACE for taxi services in Phoenix, relying on HD maps and AI algorithms; Cruise Origin is the first ground-up designed product without steering wheel or pedals, specifically built for ride-sharing and operating in parts of San Francisco. Others like Baidu's Apollo, based on Hongqi EVs, are being tested in Beijing with urban traffic scenario support. Tesla's FSD Beta is considered approaching L4 goals but remains supervised, requiring human monitoring. Key hardware includes multiple camera sets, radars, and LiDAR for environmental perception. Progress with these models is slow due to challenges like jaywalking pedestrians. Costs are high—Waymo vehicles reportedly exceed $100k per unit, making widespread adoption distant. Battery range is another issue, with electric platforms improving efficiency being the trend. L4 vehicles remain experimental prototypes, with automakers like Ford and Mercedes-Benz racing toward future implementations.

From a safety perspective, L4 autonomous vehicles must be reliable. Currently available models include Waymo's taxis operating in select cities, and the Cruise Origin team has shared accident rate data, proving fewer accidents within geofenced areas. Baidu Apollo emphasizes redundant systems in Chinese testing, such as dual sensors to prevent failures. There are no consumer vehicles available for direct purchase; they only serve ride-hailing platforms. L4 is defined as full autonomy under specific conditions, but real-world challenges are significant: in harsh weather or unexpected events, vehicles may halt. Sensors like LiDAR ensure 360-degree coverage, improving pedestrian detection. Deployment is limited to geofenced areas, prioritizing safety. Regulatory barriers are high, requiring government approval for pilot programs. The slow advancement of L4 vehicles aims to mitigate risks, with automakers like General Motors investing heavily.

I test-drove Cruise in San Francisco, it was quite a sci-fi experience! It can turn and brake completely on its own, but only operates in authorized zones. Other L4 models: Waymo taxis use modified Jaguars in Phoenix; Baidu Robotaxis run on certain roads in Beijing; Didi is also testing self-developed vehicles in Guangzhou. None are available for personal purchase, only as services. The sensor systems are quite sophisticated, with cameras and radars monitoring conditions around the clock. However, minor issues may occur in actual use, such as sudden obstacles requiring manual override. The convenience lies in eliminating driving fatigue, making it suitable for commutes. L4 vehicles are still in their early stages, with future models like Tesla's planned Robotaxi expected to expand coverage. Insufficient charging infrastructure remains a bottleneck.


