truck
Cab-less electric trucks hit Ohio roads
EASE Logistics and Einride are deploying cab-less electric autonomous trucks on public roads in Marysville, Ohio this summer to move freight between warehouse locations.
Humanless big rig completes first US freight run
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Middle-mile logistics through the lens of goal-conditioned reinforcement learning
Eberhard, Onno, Cuvelier, Thibaut, Valko, Michal, De Backer, Bruno
Middle-mile logistics describes the problem of routing parcels through a network of hubs, which are linked by a fixed set of trucks. The main challenge comes from the finite capacity of the trucks. The decision to allocate a parcel to a specific truck might block another parcel from using the same truck. It is thus necessary to solve for all parcel routes simultaneously. Exact solution methods scale poorly with the problem size and real-world instances are intractable.
Revisiting Few-Shot Object Detection with Vision-Language Models
The era of vision-language models (VLMs) trained on web-scale datasets challenges conventional formulations of "open-world perception. In this work, we revisit the task of few-shot object detection (FSOD) in the context of recent foundational VLMs. First, we point out that zero-shot predictions from VLMs such as GroundingDINO significantly outperform state-of-the-art few-shot detectors (48 vs. 33 AP) on COCO. Despite their strong zero-shot performance, such foundation models may still be sub-optimal. For example, trucks on the web may be defined differently from trucks for a target applications such as autonomous vehicle perception.
VastTrack: Vast Category Visual Object Tracking
V astTrack consists of a few attractive properties: (1) V ast Object Category . In particular, it covers targets from 2,115 categories, significantly surpassing object classes of existing popular benchmarks ( e.g ., GOT -10k with 563 classes and LaSOT with 70 categories). Through providing such vast object classes, we expect to learn more general object tracking.
A Appendix Contents
An example prompt for constructing PDDL models of the action "close a
A Appendix Contents
PlanBench seeks to cover a broad range of tasks related to planning and reasoning.