From deferring a PhD at the University of Massachusetts Amherst to pioneering autonomous driving technology in India, Sanjeev Sharma is leading groundbreaking work with Swaayatt Robots. Focused on navigating complex traffic dynamics, he’s testing advanced tech directly on Indian roads. Recognised globally for his innovation, including awards in smart cities and data science, his journey proves that where there is a will, there is certainly a way, as he continues pushing the limits in autonomous driving and education. Read his inspiring story in our special edition - ‘Most Admired Global Indians 2024’. #MAGI2024 #Innovation #SmartCities #DataScience #SwaayattRobots #MostAdmiredGlobalIndians
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Head of Growth & Strategy | MBA University of Bath | Consultant | Innovation | Strategy | Sustainability | Ex-Deloitte
Revolutionizing Autonomous Driving in India with Swaayatt Robots. Imagine booking a cab in India, only to discover there is no driver. While it sounds unrealistic, Swaayatt Robots (स्वायत्त रोबोट्स), founded by Sanjeev Sharma, is turning this vision into reality. Their cutting-edge AI and computer vision technology dynamically handle the complexities of Indian traffic. Unlike other self-driving companies that rely solely on high-definition maps and expensive sensors, Swaayatt Robots has achieved Level 5 autonomy, meaning their vehicles can perform all driving tasks under any conditions without human intervention. Share your thoughts in the comments. Like and follow this page for more groundbreaking stories in tech and innovation. #AutonomousDriving #AI #TechInnovation #SwaayattRobots #NextGen
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Discover how AI is reshaping the future of transportation! From enhancing safety to optimizing efficiency, autonomous vehicles powered by AI are paving the way for a revolution on our roads. Learn more about the transformative role of AI in transportation today. #autonomousvehicles #ai #transportationrevolution #transport #automomous #revolution #turilytix #bigai
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Curious about how #AI is shaping the future of mobility? Discover how AI is revolutionizing autonomous vehicles! From real-time decision-making to advanced safety systems, AI is pushing the boundaries of transportation like never before. In this video, we explore the key milestones, groundbreaking innovations, and what lies ahead for self-driving technology. Explore the journey of #AutonomousVehicles and the cutting-edge advancements driving the future of transportation. Follow Learnbay for more insights! https://shorturl.at/kbJcE #learnbay #ai #autonomousvehicles #selfdrivingcars #futureoftransportation
AI for Self Driving Cars
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DevOps Architect @ Grid Dynamics | Founder of Data Phoenix - an online newspaper based in the SF Bay Area and a global AI & Data community of 10,000+ Engineers, Executives, and Founders.
I was blown away by the latest autonomous driving demo in India's tight, dynamic, and chaotic traffic conditions. 🚗💨 No rules, just raw adaptation, and decision-making by the vehicle amidst adversarial traffic. Swaayatt Robots (स्वायत्त रोबोट्स) tech faced bidirectional flows on narrow roads, dodged zig-zagging obstacles, and handled unexpected halts with finesse. 🤯 #autonomousdriving #innovation #machinelearning #india #artificialintelligence #robotics #AI
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Graduate Student @ Boston University | Ex - Machine Learning Developer @ Tata Elxsi | Transforming Data into Vision: The Magic of Computer Vision
Thrilled to share a milestone project! Teaming up with Akash Murali from Northeastern University, we've developed the Visionary-Sign-Detector – our take on enhancing traffic sign recognition for autonomous driving. 🚦 It's not just about spotting traffic signs – it's about comprehending them. That's where our project comes into play. By integrating Ultralytics YOLOv8's precision in detection with the interpretive prowess of Gemini AI Pro Vision Model, we've created a system that understands the language of the road. 🚘 Tackling the complex urban environment, our project aims to give autonomous vehicles a deeper understanding of their surroundings. 🤖 What makes it special? Its adaptability and ease of deployment, thanks to containerization, open up new avenues for application in various settings. 🌐 For a deeper dive into how we're contributing to smarter and safer streets with technology, visit our GitHub: [Visionary-Sign-Detector](https://lnkd.in/ectxZYeD). Join us on this journey of technological exploration! #AutonomousVehicles #MachineLearning #Innovation #TechCollaboration #SmartCities
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I was interviewed by the Free Press Journal, MP, where we discussed the foundations of our R&D, and my personal journey, and the journey of Swaayatt Robots (स्वायत्त रोबोट्स) in solving Level-5 autonomous driving problem. The interview was in Hindi, and we discussed both the on- and off-roads #autonomousdriving research at Swaayatt, to allow #autonomousvehicles to negotiate stochastic-complex-adversarial traffic-dynamics, customary on the roads in India. We have setup ambitious goals for this year: to bring 100 KM/H demo on Indian roads where at the point of avoidance the relative velocity would be very high, generalized overtaking, and solving the problem of Level-4 autonomy once and for all. Solving the L4 problem will require us to raise $1.5B, a significant leap from our previous $3M raise, but I am hopeful if we do the right thing, nature will figure out the way for us. #machinelearning #deeplearning #reinforcementlearning
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Tiny solutions to Big problems: AI inspired by ants 🐜 Swarm Intelligence algorithms inspired by the behaviour of Ants could help autonomous cars to avoid traffic jams and accidents. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: Paper: https://lnkd.in/dvgUNnVV Article: https://lnkd.in/dwdZ9HqE 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: ✔ 𝗔𝗱𝗮𝗽𝘁 𝘁𝗼 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻𝘀: Just as ants adjust to changes in their environment, autonomous cars can dynamically respond to alerts from other vehicles, optimizing traffic flow by collectively adapting to new situations. ✔ 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗽𝗲𝗲𝗱𝘀: Swarm algorithms can help autonomous cars anticipate and coordinate their speeds, preventing stop-and-go situations. This cooperative behavior reduces fuel consumption and pollution, mimicking the efficiency seen in ant colonies. ✔ 𝗛𝗮𝘇𝗮𝗿𝗱 𝗔𝘃𝗼𝗶𝗱𝗮𝗻𝗰𝗲: Like ants signaling danger to their colony, autonomous cars can employ Swarm-inspired algorithms to alert each other about hazardous spots, enhancing safety by collectively mitigating risks in real-time. ✔ 𝗣𝗮𝗿𝗸𝗶𝗻𝗴 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Swarm algorithms enable real-time communication among autonomous cars to report available parking spaces, facilitating optimal use of parking areas, much like ants efficiently utilize their nest space. ✔ 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Inspired by how ants communicate in their colonies, autonomous cars using Swarm algorithms can identify and share information about traffic lights that may not be readily visible, contributing to overall road safety. clip credit: World Economic Forum •-• #artificialintelligence #nature #innovation #technology
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"Humanities Teacher | Inspiring Critical Thinking & Cultural Awareness | Dedicated to Student-Centered Learning and Academic Growth"
Ants as a metaphor in organizational planning
Tiny solutions to Big problems: AI inspired by ants 🐜 Swarm Intelligence algorithms inspired by the behaviour of Ants could help autonomous cars to avoid traffic jams and accidents. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: Paper: https://lnkd.in/dvgUNnVV Article: https://lnkd.in/dwdZ9HqE 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: ✔ 𝗔𝗱𝗮𝗽𝘁 𝘁𝗼 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻𝘀: Just as ants adjust to changes in their environment, autonomous cars can dynamically respond to alerts from other vehicles, optimizing traffic flow by collectively adapting to new situations. ✔ 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗽𝗲𝗲𝗱𝘀: Swarm algorithms can help autonomous cars anticipate and coordinate their speeds, preventing stop-and-go situations. This cooperative behavior reduces fuel consumption and pollution, mimicking the efficiency seen in ant colonies. ✔ 𝗛𝗮𝘇𝗮𝗿𝗱 𝗔𝘃𝗼𝗶𝗱𝗮𝗻𝗰𝗲: Like ants signaling danger to their colony, autonomous cars can employ Swarm-inspired algorithms to alert each other about hazardous spots, enhancing safety by collectively mitigating risks in real-time. ✔ 𝗣𝗮𝗿𝗸𝗶𝗻𝗴 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Swarm algorithms enable real-time communication among autonomous cars to report available parking spaces, facilitating optimal use of parking areas, much like ants efficiently utilize their nest space. ✔ 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Inspired by how ants communicate in their colonies, autonomous cars using Swarm algorithms can identify and share information about traffic lights that may not be readily visible, contributing to overall road safety. clip credit: World Economic Forum •-• #artificialintelligence #nature #innovation #technology
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Are we going to be quicker on roads? Get ready for an insightful journey with Dr Nithiyanandam PhD and Shreya Ramakrishnan as they dive into the future of road travel with a focus on India's new Satellite-based toll collection system, set to launch in March 2024. This engaging podcast uncovers the effectiveness of this innovative system compared to the existing FASTag, addressing its technical challenges, limitations, and the necessary behavioural changes for smoother navigation. It also explores the hurdles of current toll systems, the importance of efficient grievance redressal, and the readiness of Indian roads for autonomous vehicles. The role of geospatial technology in enhancing mobility and supporting autonomous cars is also a key highlight. Listen here: https://shorturl.at/oqzHW
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Inventor, Innovator, Tech Lead | IETE Fellow | IEEE Senior | IEEE CTSoc Senior | ACM | Judge - Globee, BIG | Ex-Adobe, CA/Broadcom
2moCongratulations, Sanjeev Sharma, on being recognized as the Most Admired Global Indian of 2024!