Toyota

About: Toyota is a company organization based out in Safenwil, Switzerland. It is known for research contribution in the topics: Internal combustion engine & Battery (electricity). The organization has 40032 authors who have published 55003 publications receiving 735317 citations. The organization is also known as: Toyota Motor Corporation & Toyota Jidosha KK.

Intermediacy of organic nitro and nitrite surface species in selective reduction of nitrogen monoxide by propene in the presence of excess oxygen over silica-supported platinum

Abstract: The role of surface species in the selective reduction of nitrogen oxides by propene in the presence of excess oxygen over Pt/SiO 2 has been studied at 393 K mainly with IR spectroscopy. Organic nitro, nitrite and carbonyl species were detected during the reaction. The reactions of those three species with nitrogen dioxide and oxygen took place rapidly, producing N 2 , N 2 O and CO 2 , while the reactivities of those species with nitric oxide and propene were low. Hence, a mechanism is proposed, in which the nitro, nitrite and carbonyl surface species are key reaction intermediates. Similarity in the products between the selective reduction and the oxidation of nitro (nitromethane) or nitrite (n-butylnitrite) compound supported the proposed reaction scheme.

The Communication Complexity of Correlation

Abstract: We examine the communication required for generating random variables remotely. One party Alice is given a distribution D, and she has to send a message to Bob, who is then required to generate a value with distribution exactly D. Alice and Bob are allowed to share random bits generated without the knowledge of D. There are two settings based on how the distribution D provided to Alice is chosen. If D is itself chosen randomly from some set (the set and distribution are known in advance) and we wish to minimize the expected communication in order for Alice to generate a value y, with distribution D, then we characterize the communication required in terms of the mutual information between the input to Alice and the output Bob is required to generate. If D is chosen from a set of distributions D, and we wish to devise a protocol so that the expected communication (the randomness comes from the shared random string and Alice's coin tosses) is small for each D isin D, then we characterize the communication required in this case in terms of the channel capacity associated with the set D. Our proofs are based on an improved rejection sampling procedure that relates the relative entropy between two distributions to the communication complexity of generating one distribution from the other. As an application of these results, we derive a direct sum theorem in communication complexity that substantially improves the previous such result shown by Jain et al. (2003).

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

Abstract: Human trajectory forecasting with multiple socially interacting agents is of critical importance for autonomous navigation in human environments, e.g., for self-driving cars and social robots. In this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction. PECNet infers distant trajectory endpoints to assist in long-range multi-modal trajectory prediction. A novel non-local social pooling layer enables PECNet to infer diverse yet socially compliant trajectories. Additionally, we present a simple "truncation-trick" for improving few-shot multi-modal trajectory prediction performance. We show that PECNet improves state-of-the-art performance on the Stanford Drone trajectory prediction benchmark by ~20.9% and on the ETH/UCY benchmark by ~40.8%. Project homepage: this https URL

Apprenticeship learning for motion planning with application to parking lot navigation

Abstract: Motion and path-planning algorithms often use complex cost functions for both global navigation and local smoothing of trajectories. Obtaining good results typically requires carefully hand-engineering the trade-offs between different terms in the cost function. In practice, it is often much easier to demonstrate a few good trajectories. In this paper, we describe an efficient algorithm which - when given access to a few trajectory demonstrations - can automatically infer good trade-offs between the different costs. In our experiments, we apply our algorithm to the problem of navigating a robotic car in a parking lot.

Power supply system.

Abstract: A controller executes local generation and local consumption pathways of: supplying power from a solar cell to an appliance, and charging a storage cell with power that remains after subtracting power consumed by the appliance from the solar cell power. In the absence of excess power, the storage cell and solar cell supply power. Power supply from a commercial electrical grid covers a power shortage that remains after subtracting solar cell power and storage cell power from the power consumed by the appliance. The controller also executes a second excess power selling mode pathway wherein excess power flows into the commercial electrical grid, and an assist mode wherein all solar cell power flows into the commercial electrical grid, and storage cell power flows to the appliance.