Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a method includes obtaining, by one or more computing devices on-board an autonomous vehicle, state data descriptive of a current state of an object that is proximate to the autonomous vehicle. The method includes determining, by the one or more computing devices, one or more features associated with the object based at least in part on the state data. The method includes determining, by the one or more computing devise, a vehicle action for the autonomous vehicle based at least in part on a machine-learned model and the one or more features associated with the object. The vehicle action includes stopping a motion of the autonomous vehicle or moving the autonomous vehicle past the object.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: This invention provides novel thiomorpholinone compounds useful for treating multiple sclerosis.

Abstract: This invention provides novel benzylidene rhodanines which are useful as agents in treating or preventing conditions associated with &bgr;-amyloid peptide. This invention further provides methods of treating or preventing Alzheimer's Disease which comprises administering to a mammal in need thereof an effective amount of one or more of the benzylidene rhodanines of the present invention.

Abstract: This invention provides thiomorpholinone compounds useful for treating multiple sclerosis of formula I wherein:R.sup.1 and R.sup.2 are each independently selected from C.sub.1 -C.sub.8 alkyl; C.sub.2 -C.sub.8 alkenyl; C.sub.2 -C.sub.8 alkynyl; C.sub.1 -C.sub.8 alkyloxy; C.sub.1 -C.sub.8 alkylthio; trifluoromethyl; C.sub.1 -C.sub.4 alkyl substituted with phenyl; phenyl; F; Cl; NO.sub.2 ; phenoxy; C.sub.1 -C.sub.4 alkyl substituted with phenoxy; thiophenyl; C.sub.1 -C.sub.4 alkylthiophenyl; --COOR.sup.7 ; --N(R.sup.7).sub.2 or --N(R.sup.7)SO.sub.2 R.sup.7 where each R.sup.7 is independently hydrogen or C.sub.1 -C.sub.6 alkyl;R.sup.3 is H or C.sub.1 -C.sub.4 alkyl;R.sup.4 and R.sup.5 are each individually H, or when taken together form a bond;R.sup.6 is H; C.sub.1 -C.sub.8 alkyl; C.sub.2 -C.sub.8 alkenyl; C.sub.2 -C.sub.8 alkynyl; --SO.sub.2 CH.sub.3 ; --(CH.sub.2).sub.n NR.sup.8 R.sup.9 ; --(CH.sub.2).sub.n CO.sub.2 R.sup.8 ; --(CH.sub.2).sub.n OR.sup.8 where n is an integer from 1 to 6, both inclusive, and R.

Abstract: A method of protecting a warm-blooded mammal from the progression of Alzheimer's disease, which comprises administering an effective amount of a compound of general formula. ##STR1## in which: R.sup.1 represents an optionally substituted aromatic or heteroaromatic group;L.sup.1 and L.sup.2 each independently represents a bond or an unbranched (1-4C) alkylene group, which alkylene group may optionally bear a (1-4C) alkyl, phenyl or phenyl (1-2C) alkyl substituent;one of Y.sup.1 and Y.sup.2 represents NR.sup.3 and the other represents O, S or NR.sup.3, in which R.sup.3 represent hydrogen, hydroxyl, (1-4C) alkoxy, (1-4C) alkyl or di (1-4C) alkylamino;Z represents O or S; andR.sup.2 represents (3-8C) cycloalkyl, heterocyclyl, and optionally substituted aromatic or heteroaromatic group, or together with L.sup.2, (1-10C) alkyl;or a pharmaceutically acceptable salt thereof.

Abstract: This invention provides novel benzylidene rhodanines which are useful as agents in treating or preventing conditions associated with .beta.-amyloid peptide. This invention further provides methods of treating or preventing Alzheimer's Disease which comprises administering to a mammal in need thereof an effective amount of one or more of the benzylidene rhodanines of the present invention.

Abstract: Provided is a method of treating inflammatory bowel disease in mammals utilizing certain benzyl-substituted rhodanine derivatives. Also provided are novel benzyl-substituted rhodanine derivatives and pharmaceutical compositions thereof, as well as a novel process for selectively isolating in substantially pure enantiomeric form the enantiomers of certain racemic benzyl-substituted rhodanine derivatives.

Abstract: Provided is a method of treating inflammatory bowel disease in mammals utilizing certain benzyl-substituted rhodanine derivatives. Also provided are novel benzyl-substituted rhodanine derivatives and pharmaceutical compositions thereof, as well as a novel process for selectively isolating in substantially pure enantiomeric form the enantiomers of certain racemic benzyl-substituted rhodanine derivatives.

Abstract: This invention provides certain furanone derivatives, their pharmaceutical formulations, and their use in a method for treating inflammation, asthma, or allergies.

Abstract: PAF analogues derived from 2-deoxyribose or 2-deoxyxylose, having cytotoxic, hypotensive and PAF agonist/antogonist properties.

Abstract: 2-Alkoxy C.sub.12-26 straight-chain alkyl hydroxyphosphoryl cholines, useful as hypotensive agents, anti-cancer agents and as anti-inflammatory agents.