4 papers
Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
Kanishkha Jaisankar, Pranav M. Pawar, Diana Susane Joseph +5
Deep learning and computer vision techniques have become increasingly important in the development of self-driving cars. These techniques play a crucial role in enabling self-drivi…
GPUTOK: GPU Accelerated Byte Level BPE Tokenization
Venu Gopal Kadamba, Kanishkha Jaisankar
As large language models move toward million-token context windows, CPU tokenizers become a major slowdown because they process text one step at a time while powerful GPUs sit unus…
Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
Kanishkha Jaisankar, Xiaoyang Jiang, Feifan Liao +1
Energy-efficient and high-performance motor control remains a critical challenge in robotics, particularly for high-dimensional continuous control tasks with limited onboard resour…
Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous Driving
Kanishkha Jaisankar, Sunidhi Tandel
Motion planning in complex scenarios is a core challenge in autonomous driving. Conventional methods apply predefined rules or learn from driving data to generate trajectories, whi…