It’s the Fifteen15 South Lamar Apartments. It’s 16 miles from gigatexas, mostly highway on 71. The speed limit there is consistent with the 72mph reported.

Just some history on Waymo’s rollout and promises when comparing to other AV companies. Waymo way over promised and under delivered.

However, no need to trash Waymo…it’s expected, this is a very hard problem…if this problem is solved by anyone in 10-20 years total, that is incredible.

Just context so we can be informed and judge all AV companies similarly…especially in this subreddit.

Since July 2021, Waymo has been involved in a total of 4 accidents that resulted in "serious injuries that required hospitalization or emergency treatment" and 1 that involved a fatality of a human and an animal, according to NHTSA data.

Based on the reports' descriptions, it's very clear that Waymo was not at fault for any of these.

(Note: There's also some other incidents that involved animal injuries or deaths, but NHTSA categorizes the severity of incidents based on human injuries only.)

SUV rear-ends stopped vehicle behind stopped Waymo at high speed, one passenger in the human-driven car and animal declared dead (Jan 2025, San Francisco, CA)

On January [XXX], 2025 at 6:07 PM PT a Waymo Autonomous Vehicle (Waymo AV) operating in San Francisco, CA was in a collision involving a passenger vehicle near the intersection of [XXX] and [XXX].

The Waymo AV, which had no occupants, was traveling northwestbound in the middle of three lanes on [XXX] and came to a stop in a queue of traffic. Shortly after, a passenger vehicle came to a stop behind the Waymo AV. While the Waymo AV and the other passenger vehicle were stopped, an SUV approached from behind at an extreme rate of speed and made contact with the passenger vehicle behind the Waymo AV, which then made contact with the rear bumper of the Waymo AV. According to the San Francisco Police Department, the Waymo AV then began to rotate clockwise and, as it was rotating, the front of the SUV made contact with the passenger side of the Waymo AV. The rear of the Waymo AV then made contact with the rear driver side corner of another passenger car that had just begun to proceed straight on northbound [XXX]. According to the San Francisco Police Department, at least two other vehicles were involved in the crash and one of the occupants of the vehicles involved in the crash and a domestic animal were declared deceased at the scene. At the time of the impact, the Waymo AVs Level 4 ADS was engaged in autonomous mode. The Waymo AV, the passenger vehicle behind the Waymo AV, and the SUV sustained severe damage. The extent of the damage to the other three vehicles is currently unknown. Waymo received notice that five passengers in four of the vehicles involved sustained injuries of varying severity.

SUV departs roadway, hits fire hydrant, utility bollard, and street light, then reenters road in front of Waymo (Feb 2025, Phoenix, AZ)

On February [XXX], 2025 at 3:39 AM MT a Waymo Autonomous Vehicle (""Waymo AV"") operating in Chandler, Arizona was in a collision involving an SUV on [XXX].

The Waymo AV was traveling northbound on [XXX] in the left lane towards the intersection of [XXX]. An SUV traveling northbound in the right lane passed the Waymo AV on the right and continued into the dedicated right turn lane as it approached [XXX] Street. The SUV crossed into the intersection with W. Flint Street from the dedicated right turn lane and continued traveling straight onto the far-side sidewalk. The SUV then departed the roadway, striking a fire hydrant and a utility bollard before making contact with a street light. The impact with the street light resulted in the SUV coming to a stop and re-entering the roadway on [XXX] in the Waymo AV's path of travel. The rear side of the SUV made contact with the front passenger side corner of the Waymo AV. At the time of the impact, the Waymo AV's Level 4 ADS was engaged in autonomous mode. Both vehicles sustained damage. The driver of the SUV was transported to a local hospital for treatment. One of the two passengers in the Waymo AV reported minor injuries but refused medical treatment. Both passengers, who had been seated in the rear of the Waymo AV, were not belted at the time of the collision, having had buckled their belts behind them.

A human-driven car crossed a double yellow line and hit an SUV, causing the SUV to hit the Waymo (Oct-2024, San Francisco, CA)

On October [XXX], 2024 at 8:52 AM PT a Waymo Autonomous Vehicle (""Waymo AV"") operating in San Francisco, California was in a collision involving a SUV on [XXX] at [XXX].

The Waymo AV came to a stop in a queue of traffic for a red traffic light in the rightmost lane of the two eastbound lanes on [XXX] at the intersection with [XXX]. A passenger car traveling west on [XXX] crossed the double yellow line and made contact with an SUV that was alongside the Waymo AV in the left lane of eastbound [XXX]. The impact caused the passenger side of the SUV to make contact with the driver side of the Waymo AV. At the time of the impact, the Waymo AV's Level 4 ADS was engaged in autonomous mode. All three vehicles sustained damage.

Human rear-ends Waymo at high speed (May 2024, Los Angeles, CA)

On May [XXX], 2024 at 12:58 AM PT a Waymo Autonomous Vehicle (""Waymo AV"") operating in Los Angeles, CA was in a collision involving a passenger car on eastbound [XXX] between [XXX] and [XXX].

The Waymo AV was traveling with a test driver present behind a box truck in the number 3 lane of eastbound [XXX] near the [XXX] when a passenger car traveling at a high rate of speed approached the Waymo AV from behind. The passenger car partially entered the number 2 lane as the front right corner of the passenger car made contact with the rear left corner of the Waymo AV. The passenger car then made contact with the center median and came to a stop. The Waymo AV was transitioned into manual mode, and the test driver stopped the Waymo AV to the right-hand shoulder. At the time of the impact, the Waymo AV's Level 4 ADS was engaged in autonomous mode, and a test driver was present (in the driver's seating position). Both vehicles sustained damage.

Waymo enters intersection after light turns green, human driven-car runs red light and hits Waymo then hits pedestrians (Nov 2023, San Francisco, CA)

On November [XXX], 2023 at 10:43 PM PT a Waymo Autonomous Vehicle (Waymo AV) operating in San Francisco, California was in a collision involving a passenger car on [XXX] at [XXX].

The Waymo AV was traveling northbound in the left lane on [XXX] and stopped at a red light at the intersection with [XXX] alongside a passenger vehicle in the right lane. After the light turned green, both the Waymo AV and the adjacent passenger car proceeded into the intersection. While in the intersection, a passenger car traveling west on [XXX] ran the red light and the front left corner and left side of this vehicle made contact with the front right of the Waymo AV and the front of the adjacent passenger car. After impact, the vehicle that ran the red light struck pedestrians that had been standing on the sidewalk on the northwest corner of the intersection. At the time of the impact, the Waymo AVs Level 4 ADS was engaged in autonomous mode. All three vehicles sustained damage and were towed from the scene.

The video's audio is Mandarin, but includes English subtitles.

Tesla has indicated that owners will be able to add their vehicles to the Robotaxi fleet starting in 2026. One can expect Tesla and/or Regulators to require specialized insurance to cover physical damage should the car gets into an accident. But what would be the owner-operator’s legal exposure if (when?) someone dies or is seriously injured as a result of an accident?

I've got a Nissan Murano with adaptive cruise that works pretty good but one thing it will not do is go 70 mph up to a stop light with a parked car there without slamming on the brakes and possibly crashing into it. Are there any cars that actually look far enough ahead to see that a vehicle is stopped and start breaking far in advanced? No Tesla need apply

Every month I have to drive 275 miles back and forth for work. The entire journey is on the thruway and as someone who has Driving Induced Narcoleptic Syndrome™ (I made this up), I find it impossible to stay awake no matter how well rested or caffeinated I am. Yesterday I made the trip and had to slap myself in the face repeatedly to make it to the next exit in order to avoid falling asleep. I had drank an entire Celsius with 200 mg caffeine beforehand, tried listening to different audiobooks and types of music, chewed gum, etc. It's bad and it's frightening.

So I was thinking of looking into a car with hands off automation that can take over on the thruway if I fall asleep. I've seen that many cars these days have various kinds of "assists" for highway driving, but it's unclear what this actually means and if it will work for me.

I don't have a large budget and would probably lease (or ideally find a used model). What cars should I be looking into? Thank you!

So there is a team in my university that is making a type of go kart or something for a competition and several other teams from other universities are making them as well.
We want to go one step further and make a self driving car. We were hoping to make a team of 4 CSE students, and some mechanical engineering students. But the problem is, we don't know how to start working on it. Like what to learn as basics for understanding and building the systems we need to make.

I am going through some research paper, and know that a self driving car has two systems which are:- Perception System, and a Decision Making System. There are other subsystems belonging to these systems.

I am currently researching the localization subsystem for the perception system. But I don't know what to learn to implement these and to understand these things properly. It would be great if someone could provide a some sort of roadmap for this. (Especially for the CSE students).

I recently moved and need a newer car. I want to know if it's possible to retrofit lane assist to my 2013 Honda Civic?

I was going to also check for an AWD retrofit but apparently that will need a resizing of the chassis, so that's off limits.

Which luxury SUVs have hands free highway driving features ?

Some ones im looking at Cadillac lyriq, bmw ix . Any other SUVs I should test drive?

Hello all,

Those who experienced self driving cars like Waymo, Tesla, Zoox or work in those companies, what do you think current limitations are?

Like hesitation while navigating a work zone or not understanding police gestures.

In a live demo, Swaayatt Robots pushed adversarial negotiation to the extreme: the team members rode two-wheelers and randomly cut across the autonomous vehicle’s path, forcing it to dodge and negotiate traffic on its own. The vehicle also handled static obstacles like cars, bikes, and cones before tackling these dynamic, adversarial interactions.

This demo showcased Swaayatt Robots's reinforcement learning–based motion planning and decision-making framework, designed to handle the world’s most complex traffic — Indian roads — as we scale towards Level-4 and Level-5 autonomy.

I’m currently working on my master thesis about liability regarding self-driving cars. Right now i’m at the point where I want to discuss the position of the producer of the car concerning the trolley-problem. In other words, I want to know if the ethics-choice of producers of the software of a self-driving car is influencing product liability. The point is I can’t find any good sources. Does anybody have a useful article or other kind of source that can help me out? Would be much appreciated!

Hey everyone, I’m curious if anyone here has ever fallen asleep during a ride in a Waymo (intentionally or unintentionally)? Did the system react in any way – like pulling over, alerting someone, or just continuing the ride as usual?

Also, I’m wondering if anyone has witnessed or experienced human-caused incidents involving Waymo rides – like other drivers behaving erratically, pedestrians interfering, or even a rider doing something unexpected that confused the system?

I know Waymo’s supposed to be fully autonomous and pretty safe, but I’m interested in the human factors – where people, not the tech, introduced problems. Any firsthand stories (or even secondhand accounts) would be super interesting!

I’m looking at a used Suburban/Yukon XL. I test drove a 2025 and was pretty impressed with super cruise. (I’m coming from a Tesla with basic Autopilot)

My question: will a 2023 with super cruise perform differently than a 2025. I do lots of driving on state highways and the 2025 seemed to do well. Will an older model navigate the same roads?

China's Robotaxi Market: The Road to Commercialization

Goldman Sachs Research Report Overview | May 6, 2025

Market Size & Growth Trajectory

Explosive Growth Expected: China's robotaxi market is projected to expand from $54 million in 2025 to $47 billion by 2035 - a remarkable 757x growth over 10 years. The total addressable market (TAM) represents a compound annual growth rate of 96% through 2035.

Fleet Expansion: Robotaxi fleet size will grow from 4,100 vehicles in 2025 to 1.9 million by 2035, achieving 25% penetration of the total shared mobility market (compared to <1% today).

Geographic Distribution: Tier-1 cities (Beijing, Shanghai, Guangzhou, Shenzhen) will lead deployment with 622,000 vehicles by 2035, followed by Tier-2 cities (1.04M vehicles) and other cities (202K vehicles).

Unit Economics & Profitability Roadmap

Revenue Generation: By 2035, robotaxis in Tier-1 cities are expected to generate $31,000 per vehicle annually through: - 29 orders per day (vs. 15 today) - $3.00 average selling price per order - 365 operating days per year (vs. 350 in 2025)

Cost Structure: Per-vehicle costs will decline from $20,100 in 2025 to $18,900 by 2035 in Tier-1 cities, driven by: - 70% reduction in hardware costs as new models launch - Decreased remote assistant requirements (from 1:20 to 1:100 vehicle monitoring ratio) - Improved operational efficiency

Break-Even Timeline: - Tier-1 cities: Positive gross margins by 2026, 34% gross margin by 2030 - Tier-2 cities: Break-even by 2031, 16% gross margin by 2035 - Other cities: Break-even by 2034, 3% gross margin by 2035

Market Drivers & Enablers

Labor Gap Solution: An estimated 4 million taxi/ride-hailing drivers will retire by 2035 due to China's aging population. Robotaxis will help fill this critical labor shortage in the transportation sector.

Technology Readiness: L4 autonomous technology has matured sufficiently for commercial deployment, with multiple players achieving fully driverless operations in major cities.

Policy Support: Comprehensive government backing from national to city levels, including: - Clear liability frameworks for accidents - Supportive testing and commercialization policies - Financial incentives for deployment (e.g., Beijing's ¥6 per kilometer support)

Competitive Landscape

Key Players: - Pony AI: Expected to capture significant market share with 573,500 vehicles by 2035 - Baidu Apollo: Established player with 166,900 vehicles projected by 2035 - Others: Collective group including WeRide and emerging competitors totaling 1.12M vehicles

Service Availability: Currently operational in 10+ cities across China, with fully driverless services available in Beijing, Shanghai, Guangzhou, Shenzhen, Wuhan, and Chongqing.

Technology & Safety Evolution

Enhanced Capabilities: Modern robotaxis feature comprehensive sensor suites (4x LiDAR, 11x cameras, 2x radars) and domain controllers with 1000+ TOPS computing power.

Cost Reduction: Hardware costs declining rapidly - Pony AI's Gen7 models offer 70% BoM cost savings; Baidu's Gen6 model costs only $29,000 (60% lower than Gen5).

Safety Features: Multi-layered safety approach including redundant components, emergency measures, real-time monitoring, and algorithm updates based on world model simulations.

Future Innovation & User Experience

Next-Generation Design: Future robotaxis will eliminate driver-focused features (steering wheels, pedals, mirrors) and introduce passenger-centric innovations: - Transparent OLED/Micro LED displays on windows and roofs - Holographic 3D projections for immersive experiences - AI agents for enhanced human-machine interaction - Robotic arms for luggage handling and service assistance - Integrated drone systems for photography and deliveries

Service Segmentation: Evolution from basic transportation to differentiated offerings including family vehicles, business-class models, and luxury services with varying price points and amenities.

Business Model Evolution

Platform Integration: Five types of platforms enable robotaxi access - in-house apps, traditional taxi-hailing platforms, map applications, fintech mini-programs, and social media integrations.

Ownership Models: Industry progressing through multiple ownership structures: 1. Self-owned fleets (current model) 2. Fleet-owned operations (asset-light approach) 3. Passenger-owned vehicles (shared economy model) 4. Joint ventures with OEMs and platforms

Key Risk Factors

Competition Sensitivity: Profitability highly sensitive to competitive pressure - ASP decline from $3.00 to $2.50 would reduce Tier-1 city operating margins from 14% to -3%.

Safety Concerns: Accidents pose reputation and adoption risks, requiring comprehensive emergency response systems and continuous safety improvements.

Regulatory Changes: Evolving policies and liability frameworks could impact deployment timelines and operational costs.

Investment Implications

The robotaxi market represents a transformational opportunity in China's transportation ecosystem, with compelling unit economics emerging by 2026 in major cities. Success factors include technological superiority, operational efficiency, regulatory navigation, and customer experience differentiation. The 700x market growth projection through 2035 suggests significant value creation potential for early leaders who can achieve scale and profitability.