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CSCS' 2023: ACM Computer Science in Cars Symposium

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CSCS'
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투고 마감일:
2023-09-24
통보일:
2023-10-27
개최일:
2023-12-05
개최지:
Darmstadt, Germany
개최 횟수:
7
조회: 13704   팔로우: 0   참가: 0

회반 지수 (CP-I)

43.3 / 100
전체 5,693개 중 3,652위 · 상위 65%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
56
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 7 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-04

논문 모집

CSCS' 2023 (ACM Computer Science in Cars Symposium) is an academic conference held in Darmstadt, Germany on 2023-12-05. The paper submission deadline is 2023-09-24. Acceptance notifications are sent on 2023-10-27.

Aim of the Event Industry, as well as academia, have made great advances working towards an overall vision of fully autonomous driving. Despite the success stories, great challenges still lie ahead of us to make this grand vision come true. On the one hand, future systems have to be yet more capable to perceive, reason, and act in complex real-world scenarios. On the other hand, these future systems have to comply with our expectations for robustness, security, and safety. ACM, as the world’s largest computing society, addresses these challenges with the ACM Computer Science in Cars Symposium (CSCS). This symposium provides a platform for industry and academia to exchange ideas and meet these future challenges jointly. The focus of the 2023 symposium is on Artificial intelligence & Security for Autonomous Vehicles. Symposium Scope Topics: Submission of contributions are invited in (but not limited to) the following key areas: Artificial Intelligence in Autonomous Systems Sensing, perception & interaction are key challenges inside and outside the vehicle. Despite the great progress, complex real-world data still poses great challenges towards reliable recognition and analysis in a large range of operating conditions. Latest Machine Learning and in particular Deep Learning techniques have resulted in high-performance approaches that have shown impressive results. Robust algorithms for semantic, geometric and dynamic perception around the vehicle Driver and interior monitoring Interpretable and explainable Deep Neural Networks Datasets and benchmarks with real and/or synthetic data as well as novel evaluation strategies Fusion of cameras with active sensors, such as LiDAR, Radar, etc. Embedded optimization of Deep Neural Networks as well as run-time optimizations Automotive Security Information technology enables connected autonomous vehicles and many new applications but also introduces new threats. For example, an attacker could manipulate safety-critical systems such as the braking system to endanger the live and limb of passengers and other road users. An attacker could also try to generate movement or behavior profiles of the vehicle user. Thus, ensuring security and privacy is of paramount importance but poses several challenges. CSCS is a forum for discussing the latest developments in the context of security and privacy for autonomous vehicles and bringing together researchers and practitioners. Secure in-vehicle communication and lightweight cryptographic protocols System security of electronic control units, gateways etc. (e.g., hardware security, OS security) Secure external communication (e.g., V2X, Internet) and protocols (e.g., secure remote update) Automotive security standardization, secure software development, security testing Automotive Security Monitoring (e.g., IDS, IPS, SIEM, SOC) Privacy-enhancing technologies and mechanisms for automotive applications Piracy, product counterfeit, and theft protection (e.g., RKE, Immobilizer) Practical Security Evaluations / Penetration Testing Safety and Security
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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