33 citations · 39 across the 17 of their papers we have counts for
6 papers · 1 filter
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi +2
Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges for autonomous vehicles. In particular, the encounter of a vehicle with a dilemma zo…
Recent Event Camera Innovations: A Survey
Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis +2
Event-based vision, inspired by the human visual system, offers transformative capabilities such as low latency, high dynamic range, and reduced power consumption. This paper prese…
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi +5
This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic manageme…
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma +4
Recently, event-based vision sensors have gained attention for autonomous driving applications, as conventional RGB cameras face limitations in handling challenging dynamic conditi…
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela +2
Event cameras, with their high temporal and dynamic range and minimal memory usage, have found applications in various fields. However, their potential in static traffic monitoring…
Open-TI: Open Traffic Intelligence with Augmented Language Model
Longchao Da, Kuanru Liou, Tiejin Chen +4
Transportation has greatly benefited the cities' development in the modern civilization process. Intelligent transportation, leveraging advanced computer algorithms, could further…