Sourabh Vora currently serves as the Director of Perception at Motional, where he leads a dynamic team dedicated to advancing the Detection System that powers the company’s autonomous vehicles (AVs). With a robust background in Computer Vision and Machine Learning, Sourabh is at the forefront...
Sourabh Vora currently serves as the Director of Perception at Motional, where he leads a dynamic team dedicated to advancing the Detection System that powers the company’s autonomous vehicles (AVs). With a robust background in Computer Vision and Machine Learning, Sourabh is at the forefront of developing innovative solutions that tackle complex detection challenges in real-time environments. His expertise lies in the intersection of data-centric and architecture-centric methodologies, particularly through early sensor fusion techniques that enhance the accuracy and reliability of perception systems.
Under Sourabh's leadership, the team is focused on leveraging cutting-edge algorithms and advanced image processing techniques to improve object detection and classification in diverse driving scenarios. His commitment to pushing the boundaries of technology is evident in the key projects he oversees, which involve integrating multi-sensor data to create a cohesive understanding of the vehicle's surroundings. This work not only enhances the safety and efficiency of AVs but also contributes to the broader goal of making autonomous transportation a reality.
Sourabh's proficiency in programming languages such as Python, Java, and C, combined with his experience in Digital Signal Processing and Perl Automation, allows him to effectively bridge the gap between theoretical research and practical application. His contributions to the field are well-documented, as reflected in his Google Scholar profile, showcasing a wealth of published research that underscores his thought leadership in Computer Vision and Machine Learning. For those interested in collaborating on groundbreaking detection problems, Sourabh welcomes inquiries from like-minded professionals eager to explore the future of autonomous vehicle technology.
