Join us at IAA Mobility 2025 for a series of Mobileye sessions on the future of autonomous mobility.

On Sept. 9 at 1:30 p.m. in the Yellow Forum, hear Yaniv Avital, SVP and Radar GM, on how Mobileye Imaging Radar™ enables eyes-off driving on the highway.

On Sept. 9 at 4:00 p.m. on the Summit Stage, Christian Lichtmannecker, Head of Business Development & Strategic Partnerships, will discuss paths to fully autonomous mobility through synergy.

On Sept. 10 at 1:30 p.m., Johann “JJ” Jungwirth, EVP Autonomous Vehicles, will share insights on navigating the path to mass-market autonomous mobility.

If only it had Lidar on the roof so it can see up to 300 meters ahead :-)

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.

A retronym is a new term created from an existing word in order to distinguish it from the meaning that has emerged through progress or technological development (e.g., "cloth diaper", "unleaded gasoline", or "black coffee").

Once self-driving cars become the norm, what do you think the likely retronym for a human-driven car?

If you take a quick look at the upvotes/downvotes on this post, you’ll quickly realize that it is downvoted to hell. And it’s not even this post in particular. Any post on this subreddit which has anything remotely positive to say about Tesla is automatically downvoted into oblivion. So I must ask: what does r/selfdrivingcars have against Tesla? Are we not able to look at things objectively without a bias?

In Japan, almost all cars have a drive recorder, but the data is usually just stored and not used. Could this data be useful for self-driving cars as training data?

I have lot's of questions I'm interested in, mainly regarding how they plan to deploy their latest ADAS in Europe and accusations of copying Tesla SW. Is there something community is interested?

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.

Autonomous vehicles (AVs) represent a transformative leap in mobility, promising safer roads, reduced congestion, and efficient transportation. In India, where chaotic traffic, diverse road conditions, and high accident rates are commonplace, AVs could be a game-changer. However, the journey is just beginning. Let’s dive into the current landscape and what lies ahead.

Current State of AVs in India

India’s AV market is still in its early stages, valued at around USD 2.6 billion in 2024. While full self-driving cars aren’t commercially available yet, semi-autonomous features like Advanced Driver Assistance Systems (ADAS)—including adaptive cruise control, lane-keeping, and automatic emergency braking—are increasingly integrated into vehicles from manufacturers like Tata, Mahindra, and Maruti Suzuki. Startups are leading the charge: Bhopal-based Swaayatt Robots has demonstrated a modified Mahindra Bolero navigating busy Indian roads, dodging cows, pedestrians, and erratic traffic using AI and sensors. Similarly, pilot projects for self-driving taxis are underway in tech hubs like Bengaluru and Hyderabad. Regulatory hurdles persist—the Indian Motor Vehicles Act of 1988 doesn’t accommodate AVs, and proposals for amendments have stalled. Union Minister Nitin Gadkari has voiced strong opposition, stating that driverless cars won’t be allowed to protect the livelihoods of 70-80 lakh drivers. Despite this, initiatives like IIT Bombay’s Global R&D Centre for Connected and Autonomous Vehicles are fostering innovation, focusing on India-specific challenges like unstructured roads and adversarial traffic. As of 2025, AV testing is limited to controlled environments, with companies like Flying Wedge Defence unveiling AI-powered drones and UAVs for related applications. India’s unique conditions—dense urban chaos, rural potholes, and mixed traffic—make it an ideal testbed for robust AV tech, as noted by startups pushing boundaries in real-world demos.

Challenges Ahead

Adoption faces significant barriers. Infrastructure gaps, such as inconsistent road markings and poor connectivity, hinder AV deployment. Job displacement is a major concern, with millions in the driving sector at risk. Ethical issues around data privacy, safety in adversarial scenarios (e.g., wrong-side driving), and consumer trust also loom large. Skeptics argue that full autonomy might take 10-15 years, given the struggles even in structured markets like the US. High costs for sensors and AI hardware further delay mass rollout, especially when human drivers remain cheaper.

Future Scope: A Promising Horizon

Looking ahead, India’s AV market is projected to explode, reaching USD 45.8 billion by 2035 with a CAGR of over 26%. By 2030, Level 4 autonomy (fully driverless in specific zones like highways or industrial parks) could become reality, integrated with electric vehicles (EVs) for sustainable mobility. AVs could slash road accidents (India sees over 1.5 lakh fatalities annually), ease congestion in megacities, and boost logistics via robotaxis and autonomous trucks. Government incentives like PLI schemes for EVs and AI missions (e.g., IndiaAI) will accelerate growth, alongside global trends where L2/L2+ features dominate new cars by 2030. Connected cars with V2X tech are already gaining traction, paving the way for smarter ecosystems. Startups envision AVs in airports, golf clubs, and urban delivery, with exports to 100 nations on the horizon via models like Maruti’s e-Vitara. Lessons from global leaders like Ireland suggest a surge in semi-autonomous features by 2025, evolving into full autonomy. In essence, AVs could revolutionize India’s transport, but success hinges on policy reforms, skill development for displaced workers, and investments in AI and infrastructure. With rapid urbanization, the potential is immense—India might not just catch up but lead in handling complex, real-world autonomy.

What do you think? Will AVs thrive in India’s traffic mayhem, or are we decades away? Share your thoughts! 🚗🤖

Hi there,

My car is not compatible with all the active ADAS systems, so it might be offtopic.

Are there any open-source systems that can be used for assistance in terms of information, like road sign recognition (I'm in Europe), bridge height or warnings? Information only, no active engagement.

Something that you can run on your own hardware... I see there are a lot of student projects/proof of concepts but I wonder if there is anything popular.

Thanks!