J Dey, W Taylor, S Pasricha - IEEE Consumer Electronics …, 2020 - ieeexplore.ieee.org
In emerging autonomous vehicles, perception of the environment around the vehicle depends not only on the quality and choice of sensor type, but more importantly also on the …
The progress towards fully autonomous mobility is significantly impacted by the integration of evolving technologies in connected and automated mobility (CAM). Connected and …
J Dey, S Pasricha - … Society Annual Symposium on VLSI (ISVLSI …, 2022 - ieeexplore.ieee.org
In emerging automotive cyber-physical systems (CPS), accurate environmental perception is critical to achieving safety and performance goals. Enabling robust perception for vehicles …
J Dey, S Pasricha - Machine Learning and Optimization Techniques for …, 2023 - Springer
In emerging semi-autonomous vehicles, accurate environmental perception with advanced driver assistance systems (ADAS) is critical to achieving safety and performance goals …
T Meng, M Hu, Y Bian, CM Chew… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper presents an integrated design framework for perception system of automated electric vehicles, which can efficiently generate a comprehensive design scheme for …
J Dey, S Pasricha - Machine Learning and Optimization Techniques for …, 2023 - Springer
In emerging autonomous vehicles, perception of the environment around the vehicle depends not only on the quality and choice of sensor type, but more importantly also on the …
In recent years, with the advancement in sensor technologies, computing technologies and artificial intelligence, the long-sought autonomous vehicles (AVs) have become a reality …
J Dey, S Pasricha - 2022 25th Euromicro Conference on Digital …, 2022 - ieeexplore.ieee.org
Accurate perception of the environment is critical to achieving safety and performance goals in emerging semi-autonomous vehicles. Building a perception architecture to support …
SN Vecherin, JM Shaker, MW Parker - Journal of Terramechanics, 2023 - Elsevier
This work describes an automatic detection method of obstacles covered by snow. The method is based on the detection of statistical anomalies relative to an estimated …