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Nischal K. N.

dblp:174/4979 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Artificial intelligence
1 paper
Autonomous driving · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › cyber-physical system platforms
autonomous vehicle computing
0.212015
Hardware Optimizations for Anytime Perception and Control · RTSS 2015
Robotics › Autonomous driving
perception and planning
0.112015
Hardware Optimizations for Anytime Perception and Control · RTSS 2015
YearPublicationVenuePosition
2015 Hardware Optimizations for Anytime Perception and Control
abstract
Autonomous vehicles promise significant benefits to society, from reduced accident rates to greater mobility for the elderly. The biggest challenge in the design of autonomous vehicles comes from the uncertainty of the environment in which they will operate. Their control algorithms must be able to cope with driving events that occur on widely ranging time scales. For example, relaxed rural driving can accommodate planning actions every few seconds, while imminent collision avoidance requires planning and actuation on the order of a few milliseconds. Thus 'real-time' performance will imply different things depending on the context.
Nischal K. N., Paritosh Kelkar, Dhruva Kumar, Yash Pant, Houssam Abbas, Joseph Devietti, Rahul Mangharam
RTSS1