Publication2024
Critical Application Feasibility of Predictive Learning in Autonomous Vehicles
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1020 LNNS
- Pages
- 371-383
- Published
- 1 January 2024
- DOI
- 10.1007/978-981-97-3588-4_31
- Scopus ID
- 85200652128
- ISSN
- 23673370
- Authors
- 6
- Open access
- No
- Citations
- 8
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
11 Make cities and human settlements inclusive, safe, resilient and sustainable
Explores deep learning applications for autonomous vehicles including behavioral prediction, computer vision, sensor fusion and path planning for safer urban mobility.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Reviews artificial intelligence technologies for autonomous vehicle systems advancing intelligent transportation infrastructure and sustainable urban mobility solutions.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Critical Application Feasibility of Predictive Learning in Autonomous Vehicles”. Kortex.