852 citations · 1.5k across the 82 of their papers we have counts for
8 papers · 1 filter
MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception
Rahul Ahuja, Bala Murali Manoghar Sai Sudhakar, Shashwata Gupta +3
Three-dimensional box-and-track annotation is the cost bottleneck in autonomous-driving data engines, and the offline systems built to relieve it replace the online perception stac…
RedLight-VLA: Models for traffic-rule grounding and behavioral emphasis in driving policies
Bala Murali Manoghar Sai Sudhakar, Sourab Bapu Sridhar, Sandipan Das +5
Behavior-cloned Vision-Language-Action (VLA) driving policies struggle with rare rule-governed maneuvers at signalized intersections. Braking and launching examples contribute litt…
Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving
Meda Lazar, Sourab Sridhar, Shashwata Gupta +3
Reliable traffic sign detection is a prerequisite for the global deployment of autonomous driving systems, where regulatory compliance and road safety depend on perceiving signs co…
Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks
Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig +1
Autonomous driving perception demands accurate and efficient processing of three-dimensional sensor data under strict power constraints. Traditional convolutional neural networks a…
FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception
Rahul Ahuja, Mudit Jain, Bala Murali Manoghar Sai Sudhakar +4
Vision foundation models (VFMs) and Bird's Eye View (BEV) representation have advanced visual perception substantially, yet their internal spatial representations assume the rectil…
Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision
Nikhil Gosala, B. Ravi Kiran, Senthil Yogamani +1
Monocular 3D object tracking aims to estimate temporally consistent 3D object poses across video frames, enabling autonomous agents to reason about scene dynamics. However, existin…
Class-Incremental Motion Forecasting
Nicolas Schischka, Nikhil Gosala, B Ravi Kiran +2
Motion forecasting enables autonomous vehicles to anticipate scene evolution by predicting the future trajectories of dynamic agents. However, existing approaches typically assume…
MambaFusion: Adaptive State-Space Fusion for Multimodal 3D Object Detection
Venkatraman Narayanan, Bala Sai, Rahul Ahuja +3
Reliable 3D object detection is fundamental to autonomous driving, and multimodal fusion algorithms using cameras and LiDAR remain a persistent challenge. Cameras provide dense vis…