Challenges and Opportunities for Autonomous Vehicle Query Systems
Summary: AV query systems treat fleet-collected visual and spatial streams as a continuously-updating, partial digital twin enabling real-time queries (e.g., parking availability, queue lengths, road/sidewalk conditions). Unique research challenges: extreme multimodal volume, spatio-temporal bias, privacy/regulatory constraints, and new system-design trade-offs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fiodar Kazhamiaka
- 2. Matei Zaharia
- 3. Peter Bailis
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,567 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 6.080526e-05 |
| 4,641 | VIVA: An End-to-End System for Interactive Video Analytics | 2022 | CIDR | 6.027004e-05 |
| 10,274 | Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 4,075 | Visual Road: A Video Data Management Benchmark | 2019 | SIGMOD | 6.4691764e-05 |
| 5,039 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 5.7425824e-05 |
| 6,720 | Exploring big volume sensor data with Vroom | 2017 | VLDB | 4.9504873e-05 |
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