activity
20172026
most citedComputer vision in automated parking systems: Design, implementation and challenges

128 citations · 292 across the 49 of their papers we have counts for

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55 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…