Browse State-of-the-Art › road scene understanding
road scene understanding
8 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (20 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
16 May 2018 3 repositories listedMulti-task convolutional neural networks (CNNs) have shown impressive results for certain combinations of tasks, such as single-image depth estimation (SIDE) and semantic segmentation.
-
26 Nov 2018 2 repositories listed Syntology ran 3 of 4 samples · 1 unverifiedIt also reflects label distributions of road scenes significantly different from existing datasets, with most classes displaying greater within-class diversity.
-
16 Mar 2025 1 repository listedIn sum, Logic-RAG addresses critical spatial reasoning deficiencies in LMMs for autonomous driving applications.
-
5 Feb 2024 1 repository listedFoundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems.
-
14 Jan 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)Road scene understanding is crucial in autonomous driving, enabling machines to perceive the visual environment.
-
21 Nov 2022 1 repository listedRoad scene understanding tasks have recently become crucial for self-driving vehicles.
-
25 Jul 2019 1 repository listedHence, in order to overcome the notorious instability and slow convergence of depth value regression during training, MultiDepth makes use of depth interval classification as an auxiliary task.
-
31 Mar 2019 1 repository listedOccupancy grid mapping is an important component in road scene understanding for autonomous driving.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections